AI in Precision Farming: Optimizing Crop Yields with Smart Irrigation Systems

Abstract

Artificial intelligence (AI) on precision agriculture and in particular on the realization of intelligent irrigation can maximize crop yield with minimal use of water. Precisely, by subjecting the data gathered by soil moisture sensors, weather forecast, crop health monitor to AI algorithms, farmers could make informed decisions based on the data. This reduces wastage of water, resources are preserved, and it eliminates the amount of money used, which all sums up to sustainable agriculture. Using AI-enabled technology, irrigation schemes are adjusted on a real-time basis implying that crops receive the necessary water whenever they need it. This would especially be quite helpful in areas where the issue of water shortage is rampant whereby water would be maximized to guarantee higher produces. What is more, AI-based models improve over time, which further optimizes the irrigation strategies. Despite all these advantages, the problem of its high price of entry, data privacy, and inability of infrastructural coverage of rural areas need to be addressed. The role of AI in precision farming will be discussed in the given paper, and the focus will be on smart irrigation systems, the benefits of smart irrigation, and AI powered agriculture prospects.