The Global Challenge
Feeding a growing population of 9.7B by 2050
Climate volatility disrupting traditional farming cycles
Resource constraints: water scarcity, soil degradation
Why Transform?
Experience-based
Data-driven decisions
Reactive farming
Predictive agriculture
Fragmented systems
Connected ecosystems
Where AI Fits
Think
AI / GenAI
Analyzing patterns, generating insights, and predictive modeling
Sense
IoT & Satellites
Collecting real-time data from drones, sensors, and fields
AI Core
Act
Recommendations & Automation
Executing automated interventions and actionable steps
AI Value Chain
Farm
Precision agriculture, crop monitoring
Supply Chain
Logistics optimization, quality tracking
Market
Demand forecasting, pricing intelligence
Farmer-Level AI
Empowering farmers with intelligent tools for better decision-making
Local-Language AI Advisors
Conversational AI assistants providing farming guidance in native languages
Crop Diagnostics
AI-powered disease detection and pest identification through image recognition
Weather & Yield Insights
Predictive analytics for weather patterns and crop yield forecasting
Field Force Enhancement
AI-guided recommendations for field agents
Faster issue resolution with predictive diagnostics
Scaled expertise across distributed teams
Sales & Distribution
AI-powered optimization across the entire distribution network
Dealer
- Demand forecasting
- Inventory optimization
Distributor
- Route optimization
- Supply chain visibility
Market
- Pricing intelligence
- Market trend analysis
Enterprise Platforms
Layered architecture for intelligent agriculture
Business Applications
Integrated decision platforms & dashboards
AI & Analytics Layer
Machine learning models, GenAI, predictive engines
Data Platform
Digital twins, data lakes, unified storage
IoT & Sensors
Real-time data collection from fields & equipment
Business Multiplier Effect
Measurable impact across key performance indicators
Yield
+23%
Cost
-18%
Waste
-31%
Speed
+47%
Innovation Areas
Key domains where startups are making breakthroughs
Precision Agriculture
IoT sensors, variable rate technology
Robotics & Automation
Autonomous tractors, harvesting robots
Climate Intelligence
Weather prediction, carbon tracking
Agri-FinTech
Digital payments, crop insurance
India AgriTech Opportunity
A unique convergence of scale, diversity, and digital readiness
Scale
157M hectares
Cultivated land area
Diversity
146M farmers
Diverse crop patterns
Digital Infrastructure
83% coverage
Mobile internet penetration
Scale and Diversity: 10th Agriculture Census (2015-16), Ministry of Agriculture & Farmers Welfare
Vast geographic and climatic diversity creates unique AI training opportunities
GenAI Benefits
Creating exponential value across multiple dimensions
Faster decisions
Accelerated insights from complex agricultural data
Democratized expertise
Making agronomic knowledge accessible to all farmers
Better UX
Conversational interfaces replacing complex dashboards
Opportunity Landscape
Building a sustainable and inclusive agricultural future
Global AgriTech market to reach $48.98B by 2030
Up from $24.42B in 2024, a 12.30% CAGR driven by AI and digital transformation
Source: Research and Markets, Agritech Market - Global Outlook & Forecast 2025-2030
Resilience
Climate-adaptive farming systems
Inclusion
Accessible technology for smallholder farmers
Sustainability
Resource-efficient agricultural practices
What's Next?
AI-Assisted
Current: AI supports human decisions
AI-Native
Near future: AI-first design and workflows
Agentic Systems
Future: Autonomous AI agents coordinating tasks
The Future of Agriculture Is Not Just Digital — It's Intelligent.
Thank you
Jayash J. Jagtap
Personal Philosophy
"Learner | Seeker | Explorer"
Professional Summary
Accomplished technology professional with over 14+ years of extensive experience in software engineering, digital transformation, and technical leadership. Proven track record of architecting and delivering scalable, high-performance solutions across diverse domains.
Previous Experience
Educational Qualifications
Ph.D. (Appearing)
Pursuing advanced research in Computer Science
M.E. Computer Science & Engineering
Master of Engineering