Plant Disease Forecasting is a comprehensive academic work that explores the scientific principles, technological advancements, and practical applications associated with prediction and management of plant diseases in modern agriculture. The book highlights the growing importance of disease forecasting in ensuring agricultural productivity, food security, and environmental sustainability under changing climatic conditions. It explains how interactions among pathogens, host plants, environmental variables, and agricultural practices influence disease occurrence and epidemic development within crop ecosystems. The text presents detailed discussions on epidemiological foundations, weather-based prediction systems, mathematical and statistical forecasting models, and modern decision-support technologies used in disease surveillance and management.

The book also examines the role of remote sensing, artificial intelligence, cloud computing, machine learning, and real-time environmental monitoring in strengthening disease forecasting efficiency and accuracy. Various chapters focus on forecasting approaches for major crop diseases, orchard epidemics, vector-borne infections, and climate-induced disease risks affecting agricultural systems worldwide. Emphasis is placed upon sustainable disease management practices, biological control strategies, integrated forecasting systems, and environmentally responsible crop protection methods reducing excessive pesticide dependency.