Agritech and the Rise of AI in Agriculture: A Fact-Based Overview
Agriculture is undergoing one of the biggest technology shifts in history. With rising food demand, shrinking farmland, labour shortages, and climate uncertainties, farmers across the world are adopting Agritech and Artificial Intelligence (AI) to improve productivity and efficiency. The global agritech market is growing steadily, and AI is becoming one of the core drivers of modern farming.
Global Need and Market Growth
The Food and Agriculture Organization (FAO) estimates that global food production must increase by 70 percent by 2050 to feed the growing population. At the same time, agriculture contributes roughly 26 percent of global greenhouse gas emissions, making sustainable farming essential.According to MarketsandMarkets, the AI in agriculture market is projected to reach USD 4 billion by 2026, driven by automation, predictive analytics, and smart farming equipment.
How AI Is Used in Agriculture Today
AI plays a major role in monitoring crops, predicting risks, and optimising resources.
- Precision Farming: AI-powered sensors analyse soil health, moisture, and nutrient levels to help farmers apply water and fertilizers only where required. This reduces input costs and increases yield.
- Weather and Yield Prediction: AI models process satellite data, rainfall patterns, and temperature changes to forecast weather and predict crop yields with high accuracy. This allows farmers and industries to plan better.
- Disease and Pest Detection: Machine learning tools can identify crop diseases through images with up to 90 percent accuracy. Early detection helps avoid large-scale crop loss.
- Smart Irrigation: AI-based irrigation systems adjust water flow based on real-time farm conditions. Studies show these systems can reduce water usage by up to 50 percent compared to traditional methods.
- Agricultural Robotics: Drones and autonomous robots are increasingly used for spraying, planting, and crop monitoring. The agricultural drone market is expected to reach USD 6.2 billion by 2030.
Impact on Indian Agriculture
India, with more than 55 percent of its workforce dependent on agriculture, is rapidly adopting agritech tools.
- Government programs like Digital Agriculture Mission 2021–2025, use of remote sensing, and public-private data partnerships are accelerating adoption.
- Agritech startups in India raised over USD 500 million between 2020 and 2023.
- Popular applications include soil testing AI tools, drone spraying (approved by DGCA for agriculture), precision input advisory services, and supply-chain optimisation.
Sustainability and Resource Efficiency
AI contributes to sustainable agriculture by reducing wastage and improving resource utilisation.
- Precision nutrient management can reduce fertilizer use by up to 20 percent.
- AI-enabled greenhouses maintain ideal temperature and humidity with minimal human intervention.
- Satellite-based
