Agriculture
AI-Driven Crop Monitoring
India’s Future
Business Background
Accurate crop yield estimation is vital for India’s food security and agricultural policy-making. Traditional manual surveys were slow, costly, and often inaccurate, creating delays in decision-making. Limited scalability, unreliable crop cutting experiments, and inconsistent data collection made it difficult to address the needs of diverse agro-climatic zones. A scalable, technology-driven solution using AI and machine learning was required to improve yield predictions and ensure timely, reliable insights.
Revolutionizing Crop Monitoring:
90
districts covered
for real-time crop monitoring
Up to 30%
faster data collection
compared to manual methods
Amnex Solution
Amnex deployed a cutting-edge solution combining satellite imagery, AI, and geospatial intelligence to enhance crop monitoring. High-resolution satellite data assessed crop health, while AI models predicted yields based on historical and dynamic data. The platform used remote sensing for precise crop classification and optimized Crop Cutting Experiment (CCE) site selection. A cloud-based system integrated all data, offering real-time insights to policymakers and farmers for informed decision-making.
Impact
Accurate Forecasts
Reliable crop estimates enable better policy planning and agricultural decisions.
Transparent Governance
Efficient resource allocation and subsidy distribution based on accurate data.
Smarter Farming Decisions
Real-time advice helps farmers improve yield and productivity.
Reduced Risk
Enhanced forecasting reduces uncertainty for farmers.
Stronger Access
Facilitates farmer access to government support and resources for better outcomes.
