FarmVision
Farm IntelligenceIndia's Digital Agriculture Operating System.
FarmVision is an AI-powered Agriculture Intelligence, Governance & Digital Agri Ecosystem Platform that connects farms, markets, financial institutions, supply chains, and governments through a unified intelligence framework — enabling predictive governance, precision farming, and climate-resilient agriculture at scale.
SERVICES:
TECH STACK:
Impact That Proves
Intelligence Layers
Post-Harvest Loss Reduction
Stakeholders Served
Forecasting Accuracy
The Challenge
Agriculture today operates through disconnected silos — crop data separated from weather, markets disconnected from production forecasts, financial services blind to crop risk, and policymakers lacking simulation tools to evaluate interventions before committing resources.
- Pest monitoring is reactive — outbreaks are reported after damage, not predicted before.
- Procurement planning lacks predictive intelligence, causing either shortfalls or surplus waste.
- Supply chain inefficiencies — unoptimized routes, poor warehouse allocation, cold storage gaps — cause 15-30% post-harvest losses.
- Financial institutions cannot assess crop-specific credit risk without real-time farm and yield data.
- Climate risks are difficult to assess proactively, leaving farmers and governments exposed to seasonal shocks.
The result is a system that is perpetually reactive — responding to crises instead of preventing them. FarmVision was built to shift Indian agriculture from data collection to intelligence generation.
Impact We Made
FarmVision unifies eight agricultural intelligence layers into one platform — enabling governments, farmers, and financial institutions to make evidence-based decisions at every stage of the agricultural value chain.
- Farm-level crop monitoring with AI-powered health scores, productivity indicators, and yield potential analysis.
- District and block-wise yield forecasting supporting proactive procurement and food security planning.
- Pest and disease prediction via CNN/YOLO models and weather correlation — enabling preventive intervention.
- Digital Mandi with commodity price forecasting reducing distress sales and improving farmer market realization.
- Policy simulation engine enabling governments to model outcomes of MSP changes, subsidy modifications, and climate disruptions before implementation.
Our approach — engineered for clarity
FarmVision is architected as eight integrated intelligence layers — from individual farm monitoring up to state-level policy governance — each designed to operate independently or as part of the unified ecosystem.
Farm, Crop & Precision Agriculture Intelligence
- Satellite and drone imagery processed through GIS and computer vision for plot-level crop mapping and health assessment.
- Precision agriculture advisories generated from irrigation, nutrient, and soil health analytics.
- Multi-temporal crop stage monitoring and yield potential scoring per farm and district.
- Pest and disease prediction using CNN/YOLO models cross-correlated with weather and geospatial data.
Deliverable: Farm Intelligence Dashboard with crop health, precision advisories, and pest early warning system.
Market, Finance, Supply Chain & Governance Intelligence
- Digital Mandi marketplace with ARIMA/LSTM price forecasting, volatility alerts, and distress sale risk monitoring.
- Supply chain optimization using Vehicle Routing Algorithms, linear programming, and reinforcement learning.
- Agri-finance layer with digital loan processing, yield-based credit scoring, and crop insurance claim verification.
- Policy simulation engine enabling pre-implementation modelling of MSP changes, subsidy impacts, and procurement strategies.
Deliverable: Unified governance dashboard suite — state, district, department, and farmer-level — with policy simulation and real-time intelligence.
What we shipped (features)
- Farm Monitoring & Crop Intelligence — Satellite and drone-based farm mapping, crop health scoring, and yield potential analysis at plot level.
- Precision Agriculture Advisories — AI-generated irrigation, fertilizer, and nutrient recommendations reducing input costs and improving productivity.
- Yield Forecasting Engine — XGBoost, Random Forest, and LSTM ensemble models for district and block-wise production forecasting.
- Pest & Disease Prediction Platform — CNN/YOLO-based disease detection with weather correlation, risk heatmaps, and outbreak alerts.
- Digital Mandi & Market Intelligence — Farmer-trader marketplace with commodity price forecasting, volatility alerts, and demand-supply analytics.
- Supply Chain Optimization — Transportation planning, warehouse allocation, and cold storage optimization using routing and inventory algorithms.
- Agri-Finance Intelligence — Crop-linked credit scoring, digital loan processing, insurance claim verification, and financial inclusion monitoring.
- Policy Simulation & Governance Engine — Pre-implementation scenario modelling for MSP changes, subsidy policies, and procurement strategy with budget impact analysis.
