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"Pest and Disease Management in Agriculture" highlights the importance of disease forecasting techniques in agricultural management. It discusses weather-based forecasting models, crop phenology models, epidemiological models, and the integration of remote sensing technologies, providing readers with insights into predicting disease outbreaks and implementing timely control measures.
This book explores the advancements in technology and data analytics that have revolutionized pest and disease management practices. With its comprehensive coverage, practical insights, and evidence-based recommendations, "Pest and Disease Management in Agriculture" serves as an indispensable resource for anyone involved in agriculture. Whether you are a farmer seeking effective pest control strategies, an agronomist looking to enhance your pest management skills, or a researcher interested in the latest advancements in pest and disease management, this book will provide you with the knowledge and tools necessary to improve the health, productivity, and sustainability of agricultural systems.
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