Agricultural and Biological Research

Modeling plant disease occurrence predicting plant diseases based on conditions

K. Jyothi* and G. Shankar Lingam

Global food security is seriously threatened by plant diseases, which annually result in large agricultural yield losses. Predicting and managing plant diseases are critical for sustainable agriculture. Soil conditions, including physical and chemical properties, play a vital role in plant health and disease development. This research paper presents an effective model for predicting plant diseases based on comprehensive soil condition data. We demonstrate how soil properties, such as moisture content, pH levels, nutrient content, and microbial composition, can be integrated into a predictive model to anticipate disease outbreaks and enable proactive disease management strategies. Our findings highlight the importance of considering soil conditions as a key factor in disease prediction and provide insights into the development of precision agriculture practices.