Use of next-gen technologies in rainfed agriculture Artificial Intelligence, Machine Learning and Drones

Abstract

The adoption of next-generation technologies such as artificial intelligence (AI), machine learning (ML), and drones is transforming rainfed agriculture, which faces challenges like water scarcity, climate variability, and soil degradation. AI enhances decision-making through precise weather forecasting, crop health monitoring, and decision support systems. ML contributes by analyzing data for yield prediction, optimizing soil and water management, and developing climate-resilient crop strategies. Drones play a pivotal role in aerial surveillance, precision application of resources, and rapid damage assessment. The integration of these technologies leads to better resource efficiency, increased resilience, and enhanced productivity. However, challenges such as high costs, the need for technical training, and reliable infrastructure must be addressed for widespread adoption. However, these technologies have the potential to make rainfed agriculture more sustainable and profitable.