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The Adoption and Use of ICT by Small Scale Farmers in Gezira State,
                                Sudan
                                  Musa, N.S 1, Githeko, J.M2
                             1
                              Agricultural Research Corporation,
                                      2
                                       Egerton University


Abstract

This survey sought to identify the key factors that influence the use of ICT and the challenges
of ICT adoption for disseminating agricultural information among farmers in Sudan’s Gezira
State. Socio-economic, cultural influences, technical shortcomings of information providers,
and the age of farmers were related to the adoption and use of ICT. The most popular means
of access to agricultural information were print media, friends, neighbours, agrochemical
companies, research stations and extension officers followed by radio (21.9% of
respondents), TV (14.6%) and mobile phone (10.2%). Thus radio was the most popular ICT.
The most common challenges to the adoption of ICT by farmers were low education levels,
low income, cultural inertia, inadequate ICT skills among researchers and shortage of
electricity. The paucity of relevant content in local languages was also cited as a hurdle to
adoption and use of ICT.



Keywords: ict use, ict adoption, farmers, sudan




                                              1
Introduction
Forty eight percent of Sudan’s Gross Domestic Product (GDP) is derived from agriculture.
The agricultural sector also generates about 85% of non-oil foreign exchange earnings,
provides raw materials for the agriculture-based industries and employment. People in rural
areas earn their livelihood from agricultural activities (El-Siddig and Musa, 2008). Globally, the
pressure from population growth and competition for land by biofuels has placed greater
demand on farmers to improve farm productivity while the need for food security continues to
be a priority in many developing countries. Additionally, ability to adapt to climate change was
listed as a key challenge to agriculture in the 21st century by the world summit on food
security in 2009 (FAO, 2011a).


In Sudan, a lot of research has been carried out especially by Agricultural Research
Corporation (ARC), Ministry of Agriculture and Universities such as Khartoum University and
University of Gezira (Ahmed, 2003). However, though farmers would be expected to gain
from access to this research output, it has been demonstrated that the linkages between
researchers, extension agents and farmers is not effective and that there is a mismatch
between research output and on-farm practices (Rolling, 1990). This is particularly true in
sub-Sahara Africa where the majority of the food-insecure nations are located (FAO, 2011b).


It is thought that Information and Communication Technology (ICT) that includes radio, TV,
mobile phone and Internet can be applied to narrow the gap between researchers and
farmers by providing channels to convey information between researchers, extension agents
and farmers. Several trials of such use of ICT have been conducted worldwide (Nyirenda-
Jere, 2010), however, in Sudan little is known about the interaction of ICT use and flow of
agricultural information linking researchers, extension agents and farmers.


The study reported here set out to ascertain how cultural, socio-economic factors influence
the adoption and use of ICT by farmers for accessing agricultural information. Additionally, the
study was intended to help identify the challenges of ICT use and adoption among farmers.




                                                2
Methodology
A descriptive cross-sectional survey was conducted in 2010 with a sample of 120 farmers in
Gezira State of Sudan using proportionate stratified sampling with a sampling frame based on
farmers’ database from the Sudan Ministry of Agriculture. The key data collection instrument
was a self-designed questionnaire which was pilot-tested in Sennar locality where the
reliability coefficient using Cronbach alpha was found to be 0.8. The instrument was in
English but required to be translated in the field because the farmers spoke Arabic.
Additionally 30 researchers from the Gezira Research Station and Ministry of Agriculture were
surveyed about farmers’ adoption and use of ICT. The researchers included plant scientists,
entomologists, agricultural engineers and agricultural extension officers.


Results and Discussion
It was found that the vast majority (93.3%) of the respondents were literate based on
completion of the adult literacy classes, primary school, secondary school and post-
secondary studies as shown in Table 1. UNICEF(2010) reports an adult literacy rate of 70%
for Sudan. The high literacy in Gezira State recorded in the current study may be explained
by the central location of the State and its proximity to the capital city Khartoum. This
proximity would be expected to provide greater advantage to learners than more remote
areas and areas of conflict. It would be expected that the higher the level of education among
the respondents, the more responsive they would be to many agricultural extension
programmes and policies. This is an advantage for dissemination of farm innovations as
education has been shown to be a factor in the adoption of high yielding modern farm
practices (Obinne, 1991)


   Table 1: Educational Levels of Farmers in Gezira State, Sudan
    Items                            Frequency            Percent
    No formal education                 8                   6.7
    Adult literacy education            6                   5.0
    Primary school                      41                 34.2
    Secondary school                    36                 30.0
    Post-secondary school               29                 24.1
    Total                              120                 100.0

Additionally as shown in Table 2, this indicated that majority (61%) of the farmers were 50
years and below. Again, it is expected that the relatively youthful famers would more easily
                                                  3
adopt technology for the purpose of acquiring agricultural education. The older generation is
unfamiliar with new communication technologies and in many cases, their children are far
more familiar with social networking and other recent advances in Internet use. There is a
major need for a cultural change so that they can take advantage of these tools to enhance
their networking, advocacy and other opportunities to have impact (Porcari, 2010).


    Table 2: Farmers Ages in Gezira State, Sudan
     Age of farmers       Frequency            Percent
     20-35 years              32                 26.7
     36-50 years              41                 34.2
     51-65 years              38                 31.7
     66-80 years               9                 7.4
     Total                   120                100.0

The results indicated that 5.8% of the farmers had less than 5 years experience in farming,
21.7% had done farming between 5-10 years while 72.5% had more than 10 years
experience in agriculture. Long farming experience is an advantage for improving productivity,
since it encourages rapid adoption of farm innovations (Obinne, 1991).


          Table 3: Farmer’s Experience in Agriculture in Gezira State, Sudan
            Years of experience        Frequency         Percent
            Less than 5 years               7              5.8
            5- 10 years                    26             21.7
            More than 10 years             87             72.5
            Total                          120            100.0


Farmers in Gezira have relatively small farms with 55.8% having 10 acres or less and 77.5%
having less than 20 acres of land. The majority 69%, own their land with the rest leasing or
farming communal land while 61.7% earn between US$400 and 2,000 per year from their
land [1 US$= 2.66 SDG].



ICT Used by Farmers in Gezira State

Table 4 Shows the ICT that are used by farmers in Gezira state which are: Radio, TV, Mobile
Phone, Internet and others. The highest number (21.9%) of farmers is using Radio to access
the agricultural information while 14.6% percent of farmers are using TV. The national radio
and TV broadcast at least one weekly programme of about one hour long on agriculture.
                                          4
Programmes are presented in a non-scientific language that can easily be understood by
farmers. The use of non-scientific language has made radios the most effective and popular
media in rural areas of Sudan (Bashir, 2008).


The respondents mentioned additional advantages of the radio, namely, wide coverage,
portable, battery operation, relatively inexpensive to produce and to broadcast and effective in
case of illiterate audience. The respondents also mentioned the advantages of the TV, The
likely advantage of TV include the fact that most of the farmers owned TV sets and the visual
nature of TV content. Mobile Phones were used by10.2% of farmers. According to the results
farmers noted that mobile phone is portable, having high speed in transmitting agricultural
information and inexpensive.


Only 3.3% of farmers are using Internet. Computer databases are available in ARC, National
Centre for Research (NCR), Sudanese Agriculturists Union (SAU) and Shambat Library
Complex (SHAM). Databases include Sudanese collection of scientific journals and foreign
collection that includes Access to Global Online Research in Agriculture (AGORA), The
Essential Electronic Library (TEEAL) and International Centre for Agricultural Research in Dry
Areas (ICARDA) library. The respective institutions provide free access to these information
sources through computer based network in each institution. However, there is no specific
computer database that provides a link between farmers and other stakeholders in the
agricultural sector especially with research output (Bashir, 2008). This might be partly
because of inaccessibility of Internet as well as inadequate technical skills to use the
technology on the part of farmers. A big percent (50%) of farmers are using other methods
including print media, friends, neighbours, agrochemical companies, research stations and
extension officers.
              Table 4: ICT Used by Farmers in Gezira State, Sudan
             Tools               Frequency                  Percent
             Radio                   60                         21.9
             TV                      40                         14.6
             Mobile Phone            28                         10.2
             Internet                 9                          3.3
             Others*                137                           50
             Total                  274                       100.0
                    Others*: print media, friends, neighbours, agrochemical companies, research stations and
                                                                                           extension officers


                                                    5
ICT Adoption Challenges
Identifying the key challenges to technology adoption was a key objective of this study. Four
categories of challenges were investigated that included socio-economic factors, cultural
factors, technical factors and infrastructural support.


Among the socio-economic challenges that were rated in this study, 47% of the researchers
rated educational level as the top challenge followed by income level (37%), gender (13%)
and farm size (5%). A chi-square cross-tabulation was carried out between the various ICT
and the socio-economic factors as shown in Table 5. A significance of 0.013 was obtained
which was less than the significance level α of 0.05 indicating that there was a statistically
significant relationship between the adoption of ICT and these socio-economic factors. The
results are in harmony with RBEC (2001) who found that in developing and transition
countries, most people cannot afford to use new ICT. Because the new ICT services such as
the Internet are expensive to establish some level of cost recovery is imperative, therefore,
service providers charge fees which may be unaffordable for the lower income segments in
the community.


Table 5 - Cross tabulation between ICT used and socio economic factors affecting their use
Socio                                                      ICT
economic
constraints          Radio              TV          Internet      Mobile         Print            Total
                                                                  Phone         Media
                Co       %         Co        %      Co    %      Co    %       Co     %      Co           %

Education        6       20.0      2          6.7   0     0.0    1       3.3   1     3.3     10       33.3
Level
Income           0           0.0   2          6.7   1     3.3    0       0.0   5    16.7     8        26.7
Farm Size        1           3.3   3         10.0   0     0.0    2       6.7   0     0.0     6        20.0

Gender           3       10.0      1          3.3   0     0.0    1       3.3   1     3.3     6        20.0

Total           10       33.3      8         26.7   1     3.3    4   13.3      7    23.3     30      100.0

Chi-square test: Value = 20.711, df = 12, α=0.05, Significance = 0.013
Co= count
% = Percentage of total

                                                     6
A similar cross-tabulation between ICT and cultural factors that included cultural beliefs, legal
frameworks and politics yielded a significance of 0.028 at 12 degrees of freedom against a
significance level of 0.05 indicating that there is a statistically significant relationship between
adoption of ICT and these cultural factors. These findings agree with the results of Baron
(1999) who identified culture is one of the impediments to adoption and use of ICT. He
hypothesized that people had difficulties in shifting from a worldview based on oral tradition
and the physical proximity of objects, places and persons, to one in which the world is
converted into digital objects such as files and windows that are closer to the idea of virtual
reality.


Dean Kamen, a brilliant inventor with more than 400 patents, argues that the speed of
technology adoption should not be measured by how fast you can invent new products but by
how long the "collective culture" of the target group takes to give up old ways even when the
old ways are a source of frustration. In his view, the rate of "emotional, intellectual, cultural,
and regulatory" inertia in the world is very high and getting higher (LaMonica, 2010). Z´arate,
Shaw, Marquez, & Biagas (2009) cited in Z´arate & Shaw (2010: p.51) define cultural inertia
as “desire to avoid cultural change, or conversely, to continue change once change is already
occurring”. Any interventions to promote new technologies need to take cultural inertia into
account as a significant resistive force. With regard to politics, Rohozinski (1996) found that
political factors can significantly affect the ways and means by which development actors can
promote or pursue an ICT agenda.


Among the technical challenges that were rated in this study, 53% of the researchers rated
the scarcity of skilled staff and technicians as the top hurdle. Twenty one percent rated
weaknesses in methods of dissemination as the second most important barrier to adoption
with 13% rating inappropriate information packaging and shortage of ICT centres tying in third
place. Like socio-economic and cultural factors, there was a statistically significant
relationship between these technical challenges and the adoption of ICT with significance at
0.003 at 12 degrees of freedom and an alpha value of 0.05.




                                                 7
These staff shortcomings were cited in relation to the research stations meaning that a
substantial proportion of researchers and research technicians are perceived to have
inadequate ICT skills to enable them use ICT for information dissemination. The findings
confirmed the results of Hebert (2007) and Keengwe, et al. (2009) who found that researchers
lacked adequate skills and time not only to publish research on the Internet but also to
undertake research that could lead to outputs worthy of dissemination. Heavy workloads, and
the fact that Internet access for most of them was in cyber cafes, did not allow time or a
suitable environment to engage in Internet searches or online dissemination of their work.


The infrastructural support challenges that were rated in this study included availability of
roads, electricity and telecommunications infrastructure. Table 6 shows the situation with
regard to the availability of electricity.


            Table 6 - Electricity availability to support dissemination of agricultural information
              Items                   Frequency                        Percent
              Missing                        4                        3.3
              Little                     57                         47.5
              Average                    14                         11.7
              Enough                     45                         37.5
              Total                     120                        100.0


It was found that 50.8% of farmers have little or no access to electricity (grid or solar) making
it difficult to use ICT such as TV that cannot easily run on batteries. Similar figures were
obtained for access to roads with 54.2% of the farmers indicating that there is little or no road
infrastructure in the places they lived. With regard to telecommunications infrastructure,
30.8% reported little or no infrastructure indicating relatively good coverage of the target
population. Reports such as Foster, et al (2010) illustrate the stack contrast not only between
rural and urban Africa but between developing countries in Africa and developing countries
elsewhere with respect to the state of infrastructural development. The results from the
current study show that, even in Sudan, a relatively oil-rich nation, infrastructural challenges
are still dire. In such an environment, the uptake of ICT in rural areas is likely to be stunted
especially by shortage of electricity and telecommunications infrastructure.

                                                     8
In addition to the three categories of challenges that were investigated, it was also noted that
there were other factors that need more study including low awareness about ICT, reluctance
to change traditional ways of farming and the relative lack of content in local languages
specifically in Arabic.

Conclusions
There is global pressure on food production due to factors such as competition for farmland
by biofuels, population rise and climate change yet, in developing countries and especially in
Africa, there is little linkage between research output and farming leading to low adoption of
such research. For this reason, it is useful to ascertain the status of adoption of ICT by
farmers for the purpose of acquiring agricultural information. Such ICT adoption would be
expected to lead to improved productivity. In this survey of farmers in Gezira State, Sudan,
was found that while the uptake of older ICT such as radio and TV was relatively established
at 21.9% and 14% respectively newer ICT were less used with only 3.3% using the Internet.


Some of the reasons for lower adoption of the newer ICT were identified as high cost relative
to farmer income, limited availability, little localised content as well as cultural inertia.
Although more than 90% of farmers were literate yet the researchers who were surveyed
rated low education levels as the key barrier to adoption of ICT by farmers. The scarcity of
skilled staff and technicians in the research institutions was additionally rated as a key hurdle
as was shortage of electricity.


Recommendations
It is recommended that key interventions to improve ICT adoption and use include awareness
campaigns to counteract cultural inertia, improve ICT skills of research staff and related
technical staff, provide more localised content relevant to farmers, reduce the relative cost of
the newer ICT especially the Internet, and improve rural infrastructure especially provision of
electricity. This research was exploratory and further research is needed on issues such as
the role of gender, culture and politics on ICT adoption. Similarly, the capability of research
institutions to provide appropriate localised content is an issue that requires further research.



                                                9
References
Ahmed, A. (2003) Technology Management in Sudan: Strategic and Policy Challenges.
      Journal of Management Decision, [Online] 41(3), pp. 267-273 Available from:
      http://www.emeraldinsight.com/0025-1747.htm [Accessed 23/10/2010]
Baron, L. (1999) Experiments in Community Access to New Communications and Information
      Technologies in Bogata: Anticipating the Future to Seize the Present. Report of an
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Bashir, Y. G. A. (2008) Assessment of agricultural information needs in African, Caribbean &
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El-Siddig, K. A. and Musa, A. I. (2008) Report on the National Agricultural Information System
      (NAIS) of Sudan. Proceedings Regional Workshop for Strengthening National
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      Oman, 8 – 10 January, 2008.
FAO. (2011a) World Summit on Food Security: Key challenges. November 16-18, Rome,
      2009.    Available   from:    http://www.fao.org/wsfs/world-summit/wsfs-challenges/en/
      [Accessed 28/09/2011]
FAO. (2011b) FAO Hunger Map 2010: Prevalence of undernourishment in developing
       countries. Available from:
      http://www.fao.org/fileadmin/templates/es/Hunger_Portal/Hunger_Map_2010b.pdf
      [Accessed 28/09/2011]
Foster, V., Briceño-Garmendia, C., World Bank., & Africa Infrastructure Country Diagnostic.
      (2010) Africa's infrastructure: A time for transformation. Washington, DC: Agence
      Française de Développement. Available from:
      http://siteresources.worldbank.org/INTAFRICA/Resources/aicd_overview_english_no-
      embargo.pdf [Accessed 27/02/ 2012]
LaMonica, M. (2010). Interview of Dean Kamen at the MIT Better World Conference. April 30,
      2010. C-Net News. Available from: http://news.cnet.com/8301-11128_3-20003885-
      54.html [Accessed 28/02/ 2010]

                                             10
Nyirenda-Jere, T. (2010) Unlocking the Promise of ICTs for Transforming Agriculture in Africa.
      NEPAD e-Africa Commission, CSIR, Pretoria, South Africa. Available from:
      http://knowledge.cta.int/index.php/en/Dossiers/S-T-Issues-in-Perspective/ICT-for-
      transforming-research-for-agricultural-and-rural-development/Articles/Unlocking-the-
      Promise-of-ICTs-for-Transforming-Agriculture-in-Africa [Accessed 28/09/2011]
Obinne, C. P. (1991) Adoption of improved cassava production technologies by small scale
      farmers in Bendel State. Journal of Agriculture, Science and Technology. 1(1), pp. 12-
      15.
Porcari, E. (2010) Why communication and knowledge sharing in our Megaprograms?.
      Available from: http://ictkm.cgiar.org/2010/08/21/why-communication-and-knowledge-
      sharing-in-our-megaprograms/ [Accessed 25/11/2010]
RBEC. (2001) Connecting with the field: RBEC Workshop on ICTD for UNDP Resident
      Representatives and regional partners. (Tbilisi, Georgia). UNDP Workshop Report.
      Available from : http://www.undp.org/rbec/ictd/workshop2001 [Accessed 22/06/2010]
Rohozinski, R. (1996) Strengthening the capacity of the Government Computer Information.
      Centre in Palestine. PAL/96/J08. Mid-term evaluation. UNDP.
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      systems perspective. In: Kaimowitz, D. (ed), Making the link: Agricultural research and
      technology transfer in developing countries. Westview Press, Boulder, Colorado, USA.
UNICEF      (2010)   Sudan.    [Online]   Available    from:   http://www.unicef.org/infobyco
      untry/sudan.html [Accessed 29/02/ 2012]
Z´arate, M. A., Shaw, M., Marquez, J., & Biagas, D. (2009) Cultural inertia: The effects of
      cultural change on prejudice. Manuscript submitted for publication. Cited in Zárate &
      Shaw (2010).
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      on the U.S./Mexico Border. Journal of Social Issues, 66(1), pp. 45-57.




                                             11
Acknowledgements
We owe gratitude to many who contributed to this paper. Firstly, gratitude to the Almighty God
for the talent and many gifts of life that have made us what we are today. Secondly, gratitude
to Strengthening Capacity for Agricultural Research and Development in Africa (SCARDA),
Forum for Agricultural Research in Africa (FARA), Association of Strengthening Agricultural
Research in Eastern and Central Africa (ASARECA) and Regional Universities Forum for
Capacity Building in Agriculture (RUFORUM) for supporting this research and facilitating
workshops on scientific writing that improved our skills. Last but not least, we owe much
gratitude to our respective institutions for encouraging our professional growth and
development.


Contact details


Names                                    Nada. S.A. Musa
Organization                             Agricultural Research Corporation
                                         Department Human Resources
                                         Development and Information
                                         Management
Address                                  P O Box 126, Medani, Sudan
Tel                                      Telephone: +249122134571
Fax                                      Fax: +249511843213
Email                                    Email: nada.musa@hotmail.com
Website                                  Website: http://www.arcsudan.sd



Names                                    Jason M. Githeko
Organization                             Egerton University
Address                                  Department of Computer Science
                                         P O Box 536, EGERTON 20115,
                                         Kenya
Tel                                      Telephone: +254722740237
Fax                                      Fax: +254512214788
Email                                    Email: githeko@egerton.ac.ke
Website                                  Website: http://www.egerton.ac.ke




                                             12

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ICT Use and Adoption Challenges for Small-Scale Farmers in Sudan

  • 1. The Adoption and Use of ICT by Small Scale Farmers in Gezira State, Sudan Musa, N.S 1, Githeko, J.M2 1 Agricultural Research Corporation, 2 Egerton University Abstract This survey sought to identify the key factors that influence the use of ICT and the challenges of ICT adoption for disseminating agricultural information among farmers in Sudan’s Gezira State. Socio-economic, cultural influences, technical shortcomings of information providers, and the age of farmers were related to the adoption and use of ICT. The most popular means of access to agricultural information were print media, friends, neighbours, agrochemical companies, research stations and extension officers followed by radio (21.9% of respondents), TV (14.6%) and mobile phone (10.2%). Thus radio was the most popular ICT. The most common challenges to the adoption of ICT by farmers were low education levels, low income, cultural inertia, inadequate ICT skills among researchers and shortage of electricity. The paucity of relevant content in local languages was also cited as a hurdle to adoption and use of ICT. Keywords: ict use, ict adoption, farmers, sudan 1
  • 2. Introduction Forty eight percent of Sudan’s Gross Domestic Product (GDP) is derived from agriculture. The agricultural sector also generates about 85% of non-oil foreign exchange earnings, provides raw materials for the agriculture-based industries and employment. People in rural areas earn their livelihood from agricultural activities (El-Siddig and Musa, 2008). Globally, the pressure from population growth and competition for land by biofuels has placed greater demand on farmers to improve farm productivity while the need for food security continues to be a priority in many developing countries. Additionally, ability to adapt to climate change was listed as a key challenge to agriculture in the 21st century by the world summit on food security in 2009 (FAO, 2011a). In Sudan, a lot of research has been carried out especially by Agricultural Research Corporation (ARC), Ministry of Agriculture and Universities such as Khartoum University and University of Gezira (Ahmed, 2003). However, though farmers would be expected to gain from access to this research output, it has been demonstrated that the linkages between researchers, extension agents and farmers is not effective and that there is a mismatch between research output and on-farm practices (Rolling, 1990). This is particularly true in sub-Sahara Africa where the majority of the food-insecure nations are located (FAO, 2011b). It is thought that Information and Communication Technology (ICT) that includes radio, TV, mobile phone and Internet can be applied to narrow the gap between researchers and farmers by providing channels to convey information between researchers, extension agents and farmers. Several trials of such use of ICT have been conducted worldwide (Nyirenda- Jere, 2010), however, in Sudan little is known about the interaction of ICT use and flow of agricultural information linking researchers, extension agents and farmers. The study reported here set out to ascertain how cultural, socio-economic factors influence the adoption and use of ICT by farmers for accessing agricultural information. Additionally, the study was intended to help identify the challenges of ICT use and adoption among farmers. 2
  • 3. Methodology A descriptive cross-sectional survey was conducted in 2010 with a sample of 120 farmers in Gezira State of Sudan using proportionate stratified sampling with a sampling frame based on farmers’ database from the Sudan Ministry of Agriculture. The key data collection instrument was a self-designed questionnaire which was pilot-tested in Sennar locality where the reliability coefficient using Cronbach alpha was found to be 0.8. The instrument was in English but required to be translated in the field because the farmers spoke Arabic. Additionally 30 researchers from the Gezira Research Station and Ministry of Agriculture were surveyed about farmers’ adoption and use of ICT. The researchers included plant scientists, entomologists, agricultural engineers and agricultural extension officers. Results and Discussion It was found that the vast majority (93.3%) of the respondents were literate based on completion of the adult literacy classes, primary school, secondary school and post- secondary studies as shown in Table 1. UNICEF(2010) reports an adult literacy rate of 70% for Sudan. The high literacy in Gezira State recorded in the current study may be explained by the central location of the State and its proximity to the capital city Khartoum. This proximity would be expected to provide greater advantage to learners than more remote areas and areas of conflict. It would be expected that the higher the level of education among the respondents, the more responsive they would be to many agricultural extension programmes and policies. This is an advantage for dissemination of farm innovations as education has been shown to be a factor in the adoption of high yielding modern farm practices (Obinne, 1991) Table 1: Educational Levels of Farmers in Gezira State, Sudan Items Frequency Percent No formal education 8 6.7 Adult literacy education 6 5.0 Primary school 41 34.2 Secondary school 36 30.0 Post-secondary school 29 24.1 Total 120 100.0 Additionally as shown in Table 2, this indicated that majority (61%) of the farmers were 50 years and below. Again, it is expected that the relatively youthful famers would more easily 3
  • 4. adopt technology for the purpose of acquiring agricultural education. The older generation is unfamiliar with new communication technologies and in many cases, their children are far more familiar with social networking and other recent advances in Internet use. There is a major need for a cultural change so that they can take advantage of these tools to enhance their networking, advocacy and other opportunities to have impact (Porcari, 2010). Table 2: Farmers Ages in Gezira State, Sudan Age of farmers Frequency Percent 20-35 years 32 26.7 36-50 years 41 34.2 51-65 years 38 31.7 66-80 years 9 7.4 Total 120 100.0 The results indicated that 5.8% of the farmers had less than 5 years experience in farming, 21.7% had done farming between 5-10 years while 72.5% had more than 10 years experience in agriculture. Long farming experience is an advantage for improving productivity, since it encourages rapid adoption of farm innovations (Obinne, 1991). Table 3: Farmer’s Experience in Agriculture in Gezira State, Sudan Years of experience Frequency Percent Less than 5 years 7 5.8 5- 10 years 26 21.7 More than 10 years 87 72.5 Total 120 100.0 Farmers in Gezira have relatively small farms with 55.8% having 10 acres or less and 77.5% having less than 20 acres of land. The majority 69%, own their land with the rest leasing or farming communal land while 61.7% earn between US$400 and 2,000 per year from their land [1 US$= 2.66 SDG]. ICT Used by Farmers in Gezira State Table 4 Shows the ICT that are used by farmers in Gezira state which are: Radio, TV, Mobile Phone, Internet and others. The highest number (21.9%) of farmers is using Radio to access the agricultural information while 14.6% percent of farmers are using TV. The national radio and TV broadcast at least one weekly programme of about one hour long on agriculture. 4
  • 5. Programmes are presented in a non-scientific language that can easily be understood by farmers. The use of non-scientific language has made radios the most effective and popular media in rural areas of Sudan (Bashir, 2008). The respondents mentioned additional advantages of the radio, namely, wide coverage, portable, battery operation, relatively inexpensive to produce and to broadcast and effective in case of illiterate audience. The respondents also mentioned the advantages of the TV, The likely advantage of TV include the fact that most of the farmers owned TV sets and the visual nature of TV content. Mobile Phones were used by10.2% of farmers. According to the results farmers noted that mobile phone is portable, having high speed in transmitting agricultural information and inexpensive. Only 3.3% of farmers are using Internet. Computer databases are available in ARC, National Centre for Research (NCR), Sudanese Agriculturists Union (SAU) and Shambat Library Complex (SHAM). Databases include Sudanese collection of scientific journals and foreign collection that includes Access to Global Online Research in Agriculture (AGORA), The Essential Electronic Library (TEEAL) and International Centre for Agricultural Research in Dry Areas (ICARDA) library. The respective institutions provide free access to these information sources through computer based network in each institution. However, there is no specific computer database that provides a link between farmers and other stakeholders in the agricultural sector especially with research output (Bashir, 2008). This might be partly because of inaccessibility of Internet as well as inadequate technical skills to use the technology on the part of farmers. A big percent (50%) of farmers are using other methods including print media, friends, neighbours, agrochemical companies, research stations and extension officers. Table 4: ICT Used by Farmers in Gezira State, Sudan Tools Frequency Percent Radio 60 21.9 TV 40 14.6 Mobile Phone 28 10.2 Internet 9 3.3 Others* 137 50 Total 274 100.0 Others*: print media, friends, neighbours, agrochemical companies, research stations and extension officers 5
  • 6. ICT Adoption Challenges Identifying the key challenges to technology adoption was a key objective of this study. Four categories of challenges were investigated that included socio-economic factors, cultural factors, technical factors and infrastructural support. Among the socio-economic challenges that were rated in this study, 47% of the researchers rated educational level as the top challenge followed by income level (37%), gender (13%) and farm size (5%). A chi-square cross-tabulation was carried out between the various ICT and the socio-economic factors as shown in Table 5. A significance of 0.013 was obtained which was less than the significance level α of 0.05 indicating that there was a statistically significant relationship between the adoption of ICT and these socio-economic factors. The results are in harmony with RBEC (2001) who found that in developing and transition countries, most people cannot afford to use new ICT. Because the new ICT services such as the Internet are expensive to establish some level of cost recovery is imperative, therefore, service providers charge fees which may be unaffordable for the lower income segments in the community. Table 5 - Cross tabulation between ICT used and socio economic factors affecting their use Socio ICT economic constraints Radio TV Internet Mobile Print Total Phone Media Co % Co % Co % Co % Co % Co % Education 6 20.0 2 6.7 0 0.0 1 3.3 1 3.3 10 33.3 Level Income 0 0.0 2 6.7 1 3.3 0 0.0 5 16.7 8 26.7 Farm Size 1 3.3 3 10.0 0 0.0 2 6.7 0 0.0 6 20.0 Gender 3 10.0 1 3.3 0 0.0 1 3.3 1 3.3 6 20.0 Total 10 33.3 8 26.7 1 3.3 4 13.3 7 23.3 30 100.0 Chi-square test: Value = 20.711, df = 12, α=0.05, Significance = 0.013 Co= count % = Percentage of total 6
  • 7. A similar cross-tabulation between ICT and cultural factors that included cultural beliefs, legal frameworks and politics yielded a significance of 0.028 at 12 degrees of freedom against a significance level of 0.05 indicating that there is a statistically significant relationship between adoption of ICT and these cultural factors. These findings agree with the results of Baron (1999) who identified culture is one of the impediments to adoption and use of ICT. He hypothesized that people had difficulties in shifting from a worldview based on oral tradition and the physical proximity of objects, places and persons, to one in which the world is converted into digital objects such as files and windows that are closer to the idea of virtual reality. Dean Kamen, a brilliant inventor with more than 400 patents, argues that the speed of technology adoption should not be measured by how fast you can invent new products but by how long the "collective culture" of the target group takes to give up old ways even when the old ways are a source of frustration. In his view, the rate of "emotional, intellectual, cultural, and regulatory" inertia in the world is very high and getting higher (LaMonica, 2010). Z´arate, Shaw, Marquez, & Biagas (2009) cited in Z´arate & Shaw (2010: p.51) define cultural inertia as “desire to avoid cultural change, or conversely, to continue change once change is already occurring”. Any interventions to promote new technologies need to take cultural inertia into account as a significant resistive force. With regard to politics, Rohozinski (1996) found that political factors can significantly affect the ways and means by which development actors can promote or pursue an ICT agenda. Among the technical challenges that were rated in this study, 53% of the researchers rated the scarcity of skilled staff and technicians as the top hurdle. Twenty one percent rated weaknesses in methods of dissemination as the second most important barrier to adoption with 13% rating inappropriate information packaging and shortage of ICT centres tying in third place. Like socio-economic and cultural factors, there was a statistically significant relationship between these technical challenges and the adoption of ICT with significance at 0.003 at 12 degrees of freedom and an alpha value of 0.05. 7
  • 8. These staff shortcomings were cited in relation to the research stations meaning that a substantial proportion of researchers and research technicians are perceived to have inadequate ICT skills to enable them use ICT for information dissemination. The findings confirmed the results of Hebert (2007) and Keengwe, et al. (2009) who found that researchers lacked adequate skills and time not only to publish research on the Internet but also to undertake research that could lead to outputs worthy of dissemination. Heavy workloads, and the fact that Internet access for most of them was in cyber cafes, did not allow time or a suitable environment to engage in Internet searches or online dissemination of their work. The infrastructural support challenges that were rated in this study included availability of roads, electricity and telecommunications infrastructure. Table 6 shows the situation with regard to the availability of electricity. Table 6 - Electricity availability to support dissemination of agricultural information Items Frequency Percent Missing 4 3.3 Little 57 47.5 Average 14 11.7 Enough 45 37.5 Total 120 100.0 It was found that 50.8% of farmers have little or no access to electricity (grid or solar) making it difficult to use ICT such as TV that cannot easily run on batteries. Similar figures were obtained for access to roads with 54.2% of the farmers indicating that there is little or no road infrastructure in the places they lived. With regard to telecommunications infrastructure, 30.8% reported little or no infrastructure indicating relatively good coverage of the target population. Reports such as Foster, et al (2010) illustrate the stack contrast not only between rural and urban Africa but between developing countries in Africa and developing countries elsewhere with respect to the state of infrastructural development. The results from the current study show that, even in Sudan, a relatively oil-rich nation, infrastructural challenges are still dire. In such an environment, the uptake of ICT in rural areas is likely to be stunted especially by shortage of electricity and telecommunications infrastructure. 8
  • 9. In addition to the three categories of challenges that were investigated, it was also noted that there were other factors that need more study including low awareness about ICT, reluctance to change traditional ways of farming and the relative lack of content in local languages specifically in Arabic. Conclusions There is global pressure on food production due to factors such as competition for farmland by biofuels, population rise and climate change yet, in developing countries and especially in Africa, there is little linkage between research output and farming leading to low adoption of such research. For this reason, it is useful to ascertain the status of adoption of ICT by farmers for the purpose of acquiring agricultural information. Such ICT adoption would be expected to lead to improved productivity. In this survey of farmers in Gezira State, Sudan, was found that while the uptake of older ICT such as radio and TV was relatively established at 21.9% and 14% respectively newer ICT were less used with only 3.3% using the Internet. Some of the reasons for lower adoption of the newer ICT were identified as high cost relative to farmer income, limited availability, little localised content as well as cultural inertia. Although more than 90% of farmers were literate yet the researchers who were surveyed rated low education levels as the key barrier to adoption of ICT by farmers. The scarcity of skilled staff and technicians in the research institutions was additionally rated as a key hurdle as was shortage of electricity. Recommendations It is recommended that key interventions to improve ICT adoption and use include awareness campaigns to counteract cultural inertia, improve ICT skills of research staff and related technical staff, provide more localised content relevant to farmers, reduce the relative cost of the newer ICT especially the Internet, and improve rural infrastructure especially provision of electricity. This research was exploratory and further research is needed on issues such as the role of gender, culture and politics on ICT adoption. Similarly, the capability of research institutions to provide appropriate localised content is an issue that requires further research. 9
  • 10. References Ahmed, A. (2003) Technology Management in Sudan: Strategic and Policy Challenges. Journal of Management Decision, [Online] 41(3), pp. 267-273 Available from: http://www.emeraldinsight.com/0025-1747.htm [Accessed 23/10/2010] Baron, L. (1999) Experiments in Community Access to New Communications and Information Technologies in Bogata: Anticipating the Future to Seize the Present. Report of an International Meeting on Telecentre Evaluation. International Development Research Centre (IDRC). Far Hills Inn, Québec, Canada, September 28-30, 1999. Bashir, Y. G. A. (2008) Assessment of agricultural information needs in African, Caribbean & pacific (acp) states. Eastern Africa: country study Sudan. Technical Centre for Agricultural and Rural Cooperation (CTA). El-Siddig, K. A. and Musa, A. I. (2008) Report on the National Agricultural Information System (NAIS) of Sudan. Proceedings Regional Workshop for Strengthening National Information Communication Management Focal Units in Near East Region, Muscat – Oman, 8 – 10 January, 2008. FAO. (2011a) World Summit on Food Security: Key challenges. November 16-18, Rome, 2009. Available from: http://www.fao.org/wsfs/world-summit/wsfs-challenges/en/ [Accessed 28/09/2011] FAO. (2011b) FAO Hunger Map 2010: Prevalence of undernourishment in developing countries. Available from: http://www.fao.org/fileadmin/templates/es/Hunger_Portal/Hunger_Map_2010b.pdf [Accessed 28/09/2011] Foster, V., Briceño-Garmendia, C., World Bank., & Africa Infrastructure Country Diagnostic. (2010) Africa's infrastructure: A time for transformation. Washington, DC: Agence Française de Développement. Available from: http://siteresources.worldbank.org/INTAFRICA/Resources/aicd_overview_english_no- embargo.pdf [Accessed 27/02/ 2012] LaMonica, M. (2010). Interview of Dean Kamen at the MIT Better World Conference. April 30, 2010. C-Net News. Available from: http://news.cnet.com/8301-11128_3-20003885- 54.html [Accessed 28/02/ 2010] 10
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  • 12. Acknowledgements We owe gratitude to many who contributed to this paper. Firstly, gratitude to the Almighty God for the talent and many gifts of life that have made us what we are today. Secondly, gratitude to Strengthening Capacity for Agricultural Research and Development in Africa (SCARDA), Forum for Agricultural Research in Africa (FARA), Association of Strengthening Agricultural Research in Eastern and Central Africa (ASARECA) and Regional Universities Forum for Capacity Building in Agriculture (RUFORUM) for supporting this research and facilitating workshops on scientific writing that improved our skills. Last but not least, we owe much gratitude to our respective institutions for encouraging our professional growth and development. Contact details Names Nada. S.A. Musa Organization Agricultural Research Corporation Department Human Resources Development and Information Management Address P O Box 126, Medani, Sudan Tel Telephone: +249122134571 Fax Fax: +249511843213 Email Email: nada.musa@hotmail.com Website Website: http://www.arcsudan.sd Names Jason M. Githeko Organization Egerton University Address Department of Computer Science P O Box 536, EGERTON 20115, Kenya Tel Telephone: +254722740237 Fax Fax: +254512214788 Email Email: githeko@egerton.ac.ke Website Website: http://www.egerton.ac.ke 12