Implementing AI to Enhance Irrigation and Precision Application of Pesticides and Herbicides in Agriculture

The utilization of water, pesticides, and herbicides by producers is being transformed by AI. Precision cultivation enhances sustainability and efficiency. An AI-based irrigation and pesticide/herbicide targeting system is suggested in this paper. Machine learning, computer vision, and IoT sensors comprise the system. The system can distribute water and fertilizers in accordance with the requirements of the crop by monitoring real-time soil moisture, temperature, and insect activity. Machine learning algorithms can forecast optimal irrigation regimens and address insect infestations exclusively in drone-impacted areas, thereby reducing waste and environmental impact. Without affecting crop health or productivity, a pilot study decreased pesticide use by 25% and water usage by 30%. The AI-driven system enhances precision agriculture by promoting sustainable cultivation, reducing costs, and increasing efficiency.