Integrating AI and Machine Learning in Pest and Disease Forecasting

Pest and disease outbreaks pose significant threats to agricultural productivity, impacting both the quantity and quality of crops. Traditionally, pest management has relied on historical data, visual inspections, and chemical treatments. However, these methods can be reactive rather than proactive, often leading to substantial losses before control measures are implemented. The integration of Artificial Intelligence (AI) and Machine Learning (ML) in pest and disease forecasting offers a promising solution by providing precise, timely predictions and enabling more effective field management system.

Integrating AI and Machine Learning in Pest and Disease Forecasting