This document discusses how technology can make the food and agriculture sector safer, more efficient, and profitable. It summarizes the key technologies shaping the future, including digitization, big data, blockchain, AI, machine learning, cloud computing, and IoT. It then describes MyCrop, a platform that uses these technologies to provide actionable insights through customized farm plans, supply chain optimization, product development, and other services to empower farmers and improve their standard of living. MyCrop collects public and proprietary data which it analyzes using machine learning algorithms to monitor crops, detect pests/soil defects, automate farming activities, and provide predictive analytics and recommendations to stakeholders.

1. RESEARCH, TECHNOLOGY, DIGITIZATION
TECHNOLOGY TO MAKE FOOD AND AGRICULTURE
SECTOR SAFE FOR CONSUMERS EFFICIENT FOR
STAKE HOLDERS AND PROFITABLE FOR GROWERS
FOOD 4.0: DATA
DRIVEN AGRI-FOOD
SYSTEMS
TECHNOLOGY
PIONEER 2018

2. • World Economic Forum honored technocrat part of
WEF’s Expert Network.
• DBS Foundation Top 100 Global Social
Entrepreneur 2018.
• A published author of 7 books on various technology
and business subjects.
• Advised Hon. Narendra Modi (current Prime
Minister and then CM Gujarat) from 2008 to 2011.
• Profiled by ITU in their Who’s Who list for 2005 and
2006 as International ICT Visionary.
• The Economist conferred “Certificate of
Achievement” for great contribution to technology
landscape.
• Visiting faculty at top institutions like IIT, IIM,
NIBM (India), KITA (S. Korea), KPSA (Kenya),
IBBM (Mal).
Me – Deepak Pareek

3. DIGITIZATION
BIG DATA
BLOCKCHAIN
ARTIFICIAL
INTELLIGENCE
MACHINE
LEARNING
CLOUD
COMPUTING
INTERNET
OF THINGS
TECHNOLOGY
MEGATRENDS
SHAPING
FUTURE OF
FOOD &
AGRICULTURE
SECTOR

4. ALL TYPES OF
ORGANIZATIONS
ARE GETTING
IMPACTED
DIFFERENTLY,
DEPENDING ON
THEIR EXPOSURE
ANCILLARY
SERVICES
• BANKS
• MICRO FINANCE
• INSURANCE
• LOGISTICS
• NGOS
• EXTENSION
• ACADEMICS
• GOVERNMENT
• CERTIFICATION
• WEATHER &
METEOROLOGY
FOOD
• AGGREGATORS
• COMMODITY
TRADERS
• FOOD
PROCESSORS
• INTERMEDIARIES
• RETAILERS
• FOOD SAFETY
• FOOD PACKAGING
AGRICULTURE
INPUT
• SEEDS
• CROP NUTRIENTS
• CROP
PROTECTION
• FARM
CONSUMABLES
• FARM
MECHANIZATION

5. A TECHNOLOGY ENABLED INITIATIVE FOR FARMERS THAT
EMPOWER THEM BY DELIVERING THEM ACTIONABLE
INSIGHTS, EXPERTISE AND RESOURCES, TO INCREASE THEIR
PROFITABILITY BY IMPROVING THEIR PRODUCTIVITY,
REDUCING THEIR COST AND GETTING THEM BETTER
REALIZATION OF PRODUCE HENCE IMPROVING THEIR
STANDARD OF LIVING.

6. ENRICHING
FARMER’S LIFE
A PLATFORM THAT BRINGS
ALL STAKEHOLDERS
TOGETHER BY COMBINING
CUTTING EDGE
TECHNOLOGY, INNOVATIVE
BUSINESS MODEL, FOCUSED
HUMAN EFFORTS.

7. ACTIONABLE INSIGHTS FOR ALL
MyCrop
ML/AI Platform
• Farmer Profiles
• Farm Profiles
• Crop Patterns
• Soil Profiles
On-Ground
Data (FM &
Farmers)
• Good Agriculture
Practices
• Pest Profiles
• Product Profiles
• IoT/Sensor Data
Agronomic Data
(Ecosystem
Players)
• Historic/Current
Weather
• Historic/Current
Commodity Prices
• Historic /Current Yields
Third Party
Data
Customized Farm Plan
What, When, How for Maximizing
Profitability
Supply Chain Optimization
Real-time Intelligence to plan product
availability based on predicted demand
Product Development
Customized Products tailored for every
farmer
Service Structuring
Customer driven service delivery to
farmer i.e. credit, payments, extension
and risk
Project / Activity
BenchmarkingReal-time information ensures project
can be monitored and benchmarked
Policy Interventions
Data driven policy with minimal lag based
on predictions
Predictions & Forecasts
Planning of activities based on future
scenario
FARMER APP
FARMER MITRA APP
ECO PLAYERS’
DASHBOARD

8. PUBLIC DATA SOURCES
Weather & Climate
•Satellite
•Predictions
•Historic Database
Soil Database
Crop Models
Markets Info.
Agro Input Datasheets
Best Practices Inventories
•Global
•National
•Regional
Farmer Info.
•Demographics
•Yield & Production
Other Info.
DECISION MODELS, EVALUATORS &
ALGORITHMS
Integrated Farm Models
Crop Growth Models
Water Balance Models
Soil Nutrition Models
Precision Agriculture Algorithms
Best Practice Evaluators
Farm Optimization Models
Shortest Supply Chain Analytics
Risk Assessment Models
PROPRIETARY DATA
AND SENSORS
Local Sensors
•Soil
•Weather
•Crop
Crop Variety Yield Database
Private Inventories
Remote Sensing Images
•Satellite
•Drones
Input Prices
Yield Maps
BIG DATA &
MACHINE
LEARNING
PLATFORM
DATA DRIVEN DECISION MAKING FOR
ALL STAKEHOLDERS

9. MACHINE LEARNING ASSISTED DECISION MAKING
ARTIFICIAL INTELLIGENCE
• Crop health monitoring using Deep Learning Algorithms based on real-time data from sensors,
satellite/drone images, on ground farming practices and ground truthing techniques.CROP MONITORING
• Artificial neural networks (ANN) to identify potential defects both in soil and plants. Image processing
algorithms along with historic/current local pest, soil, weather and activity data is used for Training
ANN.
PEST & SOIL
DEFECT DETECTION
• Machine learning techniques are used to care for plants by deploying UAVs & UAGs including
automated application of pesticides and plant nutrients, elimination of weeds, irrigation.FARM AUTOMATION
• AI algorithms are used for prediction of yield, crop quality, input side demands, output aggregation
needs Leading to optimization of supply chain (input & output), Policy intervention etc.
PREDICTIVE
ANALYTICS
• Farming activity recommendations including Crop/Variety Selection, Crop Nutrient/Protection and
Sowing/Irrigation/Harvest Timing based on Demographic, Agriculture and Market Profiles.
RECOMMENDATION
ENGINE

10. MACHINE LEARNING ASSISTED DECISION
MAKING
• Gather farmer and field data
• Data Driven Farm Plan Creation
• Farmer activities based on Farm Plan
• Quality inputs recommendation based on Farm
Plan Algorithms
• Identification of finance requirements for the cropCOLLECT
• Best practices based on current activities and context
• Order for inputs using best scenario
• Monitor/Benchmark progress of farmer/crop
• Provide scenario based access to experts, if farmer Needs
• Auto documentation for finance and insurance
• Delivery tracking of inputs
• Facilitate product traceability and sales
• Prediction of demand of Inputs and produce output
TRAIN
• Recommendations for improvement in productivity
• Suggestion for input sales and supply chain efficiency
• Identification of farmer pain points not covered
previously
• Monitor Farm Plan recommendations’ efficiency on
ground
• Auto benchmarking of effectiveness of MyCrop
technology/tools/recommendations
LEARN
DRIVEN BY
AND FOR
FARMER

11. TRANSPARENT AND INCORRUPTIBLE INFORMATION TO
CREATE TRUST
BLOCKCHAIN
AGRI-INPUT
E-COMMERCE
• Optimized
economical
delivery of relevant
agriculture inputs
at fair price.
FARM
CREDIT
• Empowering
farmers by making
low cost finance
reach in most
optimal manner in
environment of
trust.
PROFITABLE
REALIZATION
• Transparent output
sales ensure
farmers get what
they deserve.
FOOD
SAFETY
• Ensuring the food
to plate is grown
sustainably.

12. INNOVATION
STRATEGY
FUTURE
BUSINESS
MODEL
TECHNOLOGY
CONSOLIDATION
MARGIN
MANAGEMENT
SUPPLY CHAIN
OPTIMIZATION
REGULATION
& RISK
MANAGEMENT
SUSTAINABILITY
& SOCIAL
RESPONSIBILITY
HUMAN
CAPITAL
ENHANCEMENT
WE ASSESS YOUR
INNOVATION
READINESS AND
BUILD A CUSTOMIZED
INNOVATION
STRATEGY AND
TECHNOLOGY
ROADMAP WITH
AND FOR YOU

13. MAPPING
PROJECTION
DATA CAPTURE
DELIVERY
PREDICTION
OUR
EXPERTISE WHAT WE DELIVER
RESEARCH
CONSULTING
TECHNOLOGY
PROJECTS

14. “If you do nothing today, technology megatrends will
disrupt your market anyway tomorrow.”
Thank You!
www.mycrop.tech
deepak@mycrop.tech
Deepak Pareek, CEO & Founder
+91 98982 69489