AI Application for Sustainable Agriculture Crop Disease and Pest Detection

Abstract

The use of AI and remote sensing (RS) technologies is transforming the agricultural pest and disease management with the ability to monitor, detect, and predict early and in real-time. Such innovations are aiding in solving major problems in agriculture like climate change, resources scarcity, and pest infestation. The use of AI-driven tools is especially successful in precision agriculture, optimization of irrigation, soil management and pesticide application. Pest outbreaks are now forecasted, pest actions examined, and intervention targeted to minimize crop loss through the use of satellite imaging, drones, machine learning models, and decision support systems (DSS). Already, AI applications such as Plantix, Leaf-Byte, and Cotton Ace are helping farmers detect pests and diseases to enable them to practice farming in a more sustainable and efficient manner. With the further development of these technologies, farmers are turning to AI to enhance the health and productivity of crops and reduce environmental effects.