Precision agriculture techniques can help optimize nutrient management by accounting for spatial variability within fields. Soil sampling is done on a grid to produce fertility maps showing nutrient levels in different areas. GPS and GIS combine to map yield and collect data that identifies low-yielding zones. Remote sensing uses imagery to detect differences such as no-till fields. Yield monitors coupled with GPS measure harvest yields in various locations. Variable rate technology then applies nutrients precisely based on need. This precision nutrient management improves efficiency and protects the environment.
Precision agriculture in relation to nutrient management by Dr. Tarik Mitran
1. Precision Agriculture in relation toin relation to
Nutrient managementNutrient management
Speaker: Dr. Tarik MitranSpeaker: Dr. Tarik Mitran
SST
Agricultural Chemistry and Soil Science
,,
2. “It would be a simple matter to describe the earth’s
surface if it were the same every where. The
environment, however, is not like that there is
almost endless variety.”
– Webster and Oliver (1990).
3. Definition of Precision Ag.
Precision agriculture is an art and
science of utilizing innovative, site-
specific techniques for management of
spatial and temporal variability using
affordable technologies… for enhancing
output, efficiency, and profitability of
agricultural production in an
environmentally responsible manner
Source: Koch and Khosla, 2003
5. The Building Blocks of Precision Farming
Global Positioning Systems
Geographic Information
Systems
Direct
&
Remot
e
Sensi
ng
Variabl
e Rate
Techno
logy
Yield
Monit
ors
Precisi
on
Naviga
tion
Precision Data Management
Software
Direct
&
Remot
e
Sensi
ng
Yield
Monit
ors
Source: Shibusawa, 2001
6. Components of PF
• Geographic Information Systems (GIS)
• Global Positioning Systems (GPS)
• Variable Rate Technology (VRT)
• Yield Monitor
• Remote Sensing
• Use of Laser Land leveler in SSNM
7. Science has never had aScience has never had a
more complete set ofmore complete set of
“knowledge nuggets”.“knowledge nuggets”.
Industry has never had aIndustry has never had a
more impressive set ofmore impressive set of
technologies.technologies.
Wright
Highly P fixing soilHighly P fixing soil
The challenge:
Delivering science and technology to the farm such that it
can be integrated in support of decision making
8. Geographic Information Systems (GIS)
Computer software that stores, analyzes and
displays spatial data and its corresponding
attributes
• Attributes include: soil type, pH, salinity levels,
nutrient levels, and crop history
• GIS can overlay multiple data maps
• GIS can store, calculate, and model current and
historical data
• Maps are the main visual output but can include
reports, tables and charts
9. GIS Example
Data layer of yield
Data layer of topography
from a Digital Elevation
Model (DEM)
Data layer of soil
conductivity
Output: A visual display of areas of low yield and high EC,
indicating possible salinity problems OR fertility differences
GIS can be used to predict fertilizer needs across a field
10. Global Positioning Systems (GPS)
An instrument that receives satellite signals to
calculate your position (latitude, longitude and
elevation).
Source: Morgan and Ess, 1997
11. Signal Availability and Accuracy
Availability: GPS units need 4 or more signals to accurately
pinpoint your location.
Signal loss can occur with atmospheric conditions,
excessive electromagnetic radiation (e.g. a microwave
transmitting tower), etc.
Differential GPS (DGPS) – corrects signals
DGPS – accurate within 1 yard
Uncorrected GPS - accurate to within 10 yards.
It’s important to recognize uncorrected GPS from
DGPS.
Uncorrected GPS accuracy has greatly improved in the
last few years.
12. Having precise
location information
allows soil and crop
measurements to be
mapped.
GPS/GIS
Source: A Conference on Nutrient Management:A Certified Crop Adviser’s
Perspective by Steven Cromley, Certified Crop Adviser, Columbia, 2007
14. Precision agriculture allows
you to place the nutrients
where you need them.
• Maximize crop returns with a
minimum amount of inputs.
• The environment is protected
because only the precise quantity
of inputs is applied when and
where needed.
“Do the right things in the right
place at the right time and in the
right way”
15. Remote Sensing (RS)
Collects data from reflected electromagnetic energy and
converts it into images using satellites or airplanes.
Any data that is suspect or highly irregular, needs to be confirmed by
field investigation.
Source: Morgan and Ess, 1997
17. Source: Gowrisankar and Adiga, 2001
Major Indian remote sensing missions for agriculture (current & immediate future)
Mission Year of launch Sensors
IRS-IA, IB 1988
1991
LISS-I (72.5 m resolution)
LISS-II (36.25 m resolution)
IRS-P2 1994 LISS-II (36 m resolution)
IRS-IC, ID 1995
1997
PAN (5.8 m resolution
LISS-III (23.5, 70.5 m resolution)
WiFS (188.3 m resolution)
IRS-P3 1996 WiFS (188.3 m resolution)
TES 2001 PAN (1 m resolution
RESOURCESAT-1 2001 LISS-IV (6 m resolution)
LISS-III (23 m resolution)
AWiFS (80 m resolution)
CARTOSAT-1 2002 PAN Stereo (2.5 m resolution
CARTOSAT-2 2002/03 PAN Stereo (1 m resolution
18. Example of
Remote Sensing
Imagery
Source: Bricklemeyer et al., 2002
A Montana study
identified no-till
fields with RS
imagery with 95%
accuracy.
Selected till
treatments (bold
white lines) and no-
till fields (dashed).
19. Yield Monitoring and Mapping
• Sensors mounted on the combine measuring yield as the crop is
harvested.
• Coupled with a GPS logging location, data can be mapped.
• Identifies in-field variations in yield.
• Allows fine tuning of next year’s seeding and fertilizer applications.
• Overall yield monitor accuracy is improving with use and research,
while in-field accuracy is improved with calibration.
Yield monitors are
attached to conveyors
or combines to
measure grain yield
and moisture content.
20. Comparison between Conventional and Precision agriculture
Operation Tools implements and equipments
Conventional Precised
Land Development
and Levelling
Bullock or tractor operated
scrappers and levelers
Lasers guided precession
land leveler.
Tillage Mould board plough disc
harrow, tyne cultivators,
bakhars etc.
Pneumatic plants inclined
plate planter, vegetable and
rice transplanter, Potato
Planter, sugarcane planter
etc.
Irrigation Centrifugal and submersible
pump, lift irrigation etc.
Sprinkler and drip irrigation
systems
Plant Protection Manual, animal operated or
engine operated sprayer,
duster
Self propelled, Power tiller
sprayer electro static and air
assisted spraying
Harvesting and
threshing
Sickles and reaper Grain combines sugarcane
harvester, high capacity
multicrop threshers, potato
and ground nut digger etc.
21. Why is Precision Nutrient
Management Important?
• Nutrient variability within a field can be very high
(graphs to follow), affecting optimum fertilizer rates.
• Yield potential and grain protein can also vary
greatly even within one field, affecting fertilizer
requirements.
• Increasing fertilizer use efficiency will become more
important with increasing fertilizer costs and
environmental concerns
22. Source: Keith Jones, 2008Source: Keith Jones, 2008
Govern by 4 R’sGovern by 4 R’s
Nutrient Mangement in Precision Agriculture
23. SITE SPECIFIC NUTRIENT MANAGEMENT
‘Feeding of crop with nutrients as and
when needed’
Fertilizers have played a key role in increasing
crop production.
Cost of fertilizer is increasing.
The current fertilizer practice results in high loss
of applied fertilizers. Recently, scientists have
developed a new technique of nutrient
management known as site specific nutrient
management- based on site, climate and actual
plant needs.
25. Grid Soil Sampling
• Field is divided into equal areas (grid cell).
• 10 cores (min.) composited within each grid cell,
either a random or systematic pattern.
• Collected composite sample represented each area
appropriately.
• Fertility Map produce, provide accurate information
about soil reaction, nutrient status.
Advantage:
• Provides a good assessment of variability.
Disadvantage:
• Expensive.
26. Whole Field vs. Site Specific Management
Whole-fieldWhole-field assumes the “average” conditions are theassumes the “average” conditions are the
same everywhere within the field (uniform/homogenous)same everywhere within the field (uniform/homogenous)
Management action is theManagement action is the same throughoutsame throughout the fieldthe field
Z1
Z3
Z2
Z1
Z2
DiscreteDiscrete Management ZonesManagement Zones
break the field into areas ofbreak the field into areas of
similar conditionssimilar conditions (zones)(zones)
Management action is theManagement action is the
same withinsame within each zoneeach zone
ContinuousContinuous SurfacesSurfaces break the field into smallbreak the field into small
consistent piecesconsistent pieces (cells(cells)) that track specificthat track specific
conditions at each locationconditions at each location
Management actionManagement action varies throughoutvaries throughout the fieldthe field
((BerryBerry))
The bulk of agriculturalThe bulk of agricultural
research has beenresearch has been
““non-spatialnon-spatial””
……but PA is all aboutbut PA is all about
spatial relationships/patternsspatial relationships/patterns
Research OpportunityResearch Opportunity Is Smart Sampling really dumb?Is Smart Sampling really dumb?
27. Recognize Field Nutrient VariabilityRecognize Field Nutrient Variability
Nitrate - Nitrogen
lbs/acre
0-30
31-40
41-50
51-60
61-80
>80
SourceSource:: Hailin Zhang and Gordon Johnson, 1997
Soil test nitrate N – variability in 25′×′25 area in Garfield County Oklahoma
28. Visualizing Spatial Relationships
What spatial relationshipsWhat spatial relationships
do you see?do you see?
Interpolated Spatial DistributionInterpolated Spatial Distribution
Phosphorous (P)
……do relatively high levelsdo relatively high levels
of P often occur with highof P often occur with high
levels of K and N?levels of K and N?
……how often? …where?how often? …where?
HUMANSHUMANS can “see” broadcan “see” broad
generalized patternsgeneralized patterns
in ain a singlesingle map variablemap variable
Source: Joseph K. Berry 9th International Conference on Precision Agriculture, 2008 — Denver, ColoradoSource: Joseph K. Berry 9th International Conference on Precision Agriculture, 2008 — Denver, Colorado
29. Variable Rate Technology
• Varying the application rates of seed, fertilizer
or pesticides to adjust for in-field differences
• Historically, intensive soil sampling had been
necessary to measure and adjust for this
variation.
Refers to any equipment designed to allowRefers to any equipment designed to allow
the rate of farm inputs to be preciselythe rate of farm inputs to be precisely
controlled and varied while the machine is incontrolled and varied while the machine is in
operationoperation
30. Variable Rate Technology
Precision agriculture technologies such as variable-rate
fertilizer applicators can increase cotton profitability by
improving nutrient use efficiency.
Source: Phillips et al.(2008) Better Crops, 92 ( No. 3)
31. Integrated Sensing & Application
Individual SensorsIndividual Sensors
Six individual sensor readings are used to calculateSix individual sensor readings are used to calculate
the crops mean NDVI for the width of the applicatorthe crops mean NDVI for the width of the applicator
and the N rate is automatically adjustedand the N rate is automatically adjusted
RT200 Variable Rate Applicator
with GreenSeeker
Crop appearance – high tech (before yield loss)
Lafond, 2005
32. TOOLS MONITORED EFFECTIVE OPTION FOR
SCHEDULING FIELD SPECIFIC APPLICATION OF
FERTILIZER
Source: Misha and Shukla, 2007
For Nitrogen during the
growing season, based
on plant leaf N- status
which is monitored by
leaf colour Chart (LCC)
33. Gains in irrigated rice yield and the agronomic efficiency of fertilizer-N (kg
grain yield increase per kg fertilizer-N applied) through site-specific nutrient
management in Nueva Ecija province, Philippines.
Source: Dobermann et al., 2004
37. Laser Land Leveling
Laser Land Leveling is a process of smoothing the land
surface from its average elevation using laser equipped
with drag buckets. This practice uses tractor & soil
movers that are equipped with GPS/laser guided
instrumentation so that soil can moved either by cutting
or filling to create desired level.
Advantages
Increases nutrient use efficiency.
Improves application and distribution efficiency
of irrigation water.
Increases crop productivity.
Helps in weed management.
39. Source: Jat et al. (2006)
Grain yield of rice and wheat under precision and
traditional land leveling in western Uttar Pradesh
Statistical
parameters
Grain yield(t/ha)
rice wheat
Leaser leveling Traditional
leveling
Leaser leveling Traditional
leveling
Number of
farmer
71.00 71.00 71.00 71.00
minimum 3.90 3.50 4.60 4.20
maximum 5.70 5.44 6.21 6.12
mean 4.84 4.51 5.53 5.21
kurtosis -0.63 -0.62 -1.09 -0.931
skewness -0.29 -0.07 -0.24 -0.093
SD 0.46 0.462 0.435 0.460
SE 0.055 0.055 0.052 0.054
CV(%) 9.58 10.24 7.86 8.82
40. Source: Jat and Sharma, 2005
Grain Yield Of Rice And Wheat Under Precision And
Traditional Land Leveling at Modipuram
TraditionalPrecision
41. Treatment Agronomic
Efficiency of N
(Kg Kg-1
)
Agronomic
Efficiency of P
(Kg Kg-1
)
Agronomic
Efficiency of K
(Kg Kg-1
)
2003 2004 2003 2004 2003 2004
Laser Leveling + NPK
(120:26:40) Kg ha-1
18.75 20.00 86.54 92.31 56.25 60.00
Traditional Leveling + NPK
(120:26:40) Kg ha-1
7.67 9.17 35.38 42.31 23.00 27.50
Source: Pal et al.,2004
Agronomic Efficiency (Kg Kg-1) of N,P and K under
different Land Leveling System in Rice at Modipuram
(UP)
42. Effect of Precision land leveling on uptake
efficiency of N, P and K in rice
Source: Precision Farming Project (NATP)
44. Need for Precision Farming in India
• Increased Land degradation.
(In India, out of 329 million ha of total
geographical area182 million ha of area is affected
by land degradation due to water erosion, wind
erosion, water logging and chemical deterioration.)
• Depletion of Water resources.
• Socio economic need for enhanced productivity / unit of
land, water and time.
• Environment Pollution because of increased and
indiscriminate use of fertilizers and chemicals.
• Precision Farming is essential in order to address
poverty alleviation, enhance quality of life and food
security.
45. PROBLEMS IN ADOPTION OF
PRECISION FARMING TECHNOLOGY:
• Fragmented land holding
• Lack of continuously monitoring the health and availability of
the nature resources.
• Climatic aberrations.
• Operational constraints.
• Uncertainty in getting the various inputs.
• Absence of a long standing and uniform agricultural policy.
• Lack of success stories.
• Lack of local technical expertise.
• Land ownership, Infrastructure and Institutional constraints.
46. Probable Strategies
• Farmer’s co-operatives.
• Pilot projects.
• Agricultural input suppliers, Extension advisors
and consultant play important role in the spread of
the technology.
• Combined effort of Researchers and Government.
• Public agencies should consider supplying free
data such as remotely sensed imagery to the
universities and research institutes involved in
Precision farming research.
47. Relevance Of Precision Farming To Indian Condition
(Present Scenario)
• Precision farming technologies have been developed and
adopted in developed nations such as USA, Europe, Canada
and Australia.
• Agriculturally progressive states such as Punjab, Haryana,
Gujarat and Rajasthan, 20% of agricultural lands have
operational holding of 4 ha or more. When contiguous fields
with the same crop are considered, those fields are used to
initial the implementation of precision farming.
• The concept of precision farming being implements by the
Tata Kisan Kendra.
• Some of the research institutes. Such as Space Applications
Centre ,ISRO
M.S. Swamminathan Research Foundation, Chennai
Indian Agricultural Research Institute, New Delhi;
Project Directorate of Cropping System Research,
Modipuram………………………had started working in this
direction.
48. Conclusion
• Research on Precision Farming is at infancy stage
in our country.
• Tools and techniques for assessing soil and yield
variability for application of inputs need to be
standardized at a low cost and farmers’ friendly.
• Thus, Precision Farming may help farmers to
harvest fruits of frontier technologies without
compromising on the quality of land and produce.
• The Precision Farming would trigger a techno-green
revolution in India which is the need of the hour.
49. He Sits over Here for Precision Farming
Thanks for your attention
Editor's Notes
Why on last note is that residue can increase humidity, resulting in urea dissolving but not infiltrating soil. Urease concentrations increase. Conversely, cover can decrease wind, decreasing volatilization.
Industry investment in precision agriculture has dramatically increased the use of soil testing. For example, in Ontario the total number of soil tests for nutrients increased from 43,000 in 1992 to over 156,000 in 1999. Industry agronomists are working closely with producers to interpret yield maps and ascertain yield-limiting factors varying within fields. These efforts improve nutrient use efficiency.
Industry investment in precision agriculture has dramatically increased the use of soil testing. For example, in Ontario the total number of soil tests for nutrients increased from 43,000 in 1992 to over 156,000 in 1999. Industry agronomists are working closely with producers to interpret yield maps and ascertain yield-limiting factors varying within fields. These efforts improve nutrient use efficiency.
Industry investment in precision agriculture has dramatically increased the use of soil testing. For example, in Ontario the total number of soil tests for nutrients increased from 43,000 in 1992 to over 156,000 in 1999. Industry agronomists are working closely with producers to interpret yield maps and ascertain yield-limiting factors varying within fields. These efforts improve nutrient use efficiency.
This graph shows the variability of nitrate-nitrogen in a 75’x75’ area of a field. Each small plot is a 5’x5’ square. Nitrate-N ranged from 25 lbs/acre to 102 lbs/acre over the area.
Each sample submitted for analysis should be representative of the the entire sampling area.
Avoid taking sample from any unusual spots, such as, manure piles, cracks, etc, to avoid any misrepresentation.
Data gathered from OSU Agronomy Research Farm