Survey and market analysis demonstrates AI-driven tools enhance resource efficiency and crop monitoring in precision farming, suggesting scalable pathways for agricultural sustainability.
Precision agriculture has developed as an important technique for solving global food security concerns while also improving environmental sustainability, resource conservation, and economic prosperity. Precision farming is a scalable and sustainable method to improving agricultural resilience and productivity through data-driven farm management, as agricultural systems confront increasing pressures from population increase, climate change, and depleting natural resources. The incorporation of Artificial Intelligence (AI) into precision agriculture has hastened the shift to intelligent and sustainable farming systems. AI-powered solutions provide real-time monitoring, predictive analytics, and automated decision-making, which improves agricultural efficiency and reduces waste. Among these innovations, smart irrigation systems utilize soil moisture sensors, weather forecasting models, and IoT-enabled monitoring devices to optimize water application, resulting in improved water-use efficiency and enhanced crop productivity. Similarly, unmanned aerial vehicles (UAVs), commonly known as agricultural drones, have become indispensable tools for crop surveillance, disease detection, nutrient assessment, weed identification, and precision pesticide application, enabling farmers to monitor field conditions with high spatial and temporal resolution. This study investigates the role of Artificial Intelligence (AI) in promoting sustainable agricultural practices through precision farming technologies.
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Dr. G. Sabitha Dr. Srilatha Toomula (2026) studied this question.
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