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Agricultural Meteorology: Principles and Practices

Agricultural Meteorology: Principles and Practices

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Author : B V Ramana Rao, Surendar Singh & V Uma Maheswara Rao
Pages : 250
Year of Publication : 2026
Language : English
Binding : Hardback
The dynamic interplay between the atmosphere and agricultural systems forms the foundation of sustainable food production. As climate variability intensifies and the need for global food security grows, the discipline of Agricultural Meteorology has become more vital than ever. It offers the scientific lens through which we understand how weather influences every crop, every field, and every strategic decision made in agriculture. The book has been meticulously crafted as an essential resource for students, educators, and practitioners seeking a strong foundation in this discipline. The primary objective of this book is to present a comprehensive, clear, and logically structured exposition of the fundamental principles of agricultural meteorology, while vividly demonstrating their practical applications in crop production and management. The book begins with foundational concepts in general meteorology and climatology and gradually transitions into the specialized domain of agricultural meteorology. It unravels the intricate relationships between weather parameters and every stage of crop growth—from germination to harvest—highlighting their influence on plant development, productivity, and resilience. Practical applications are emphasized throughout: the use of weather forecasts in farm planning, strategies for managing weather-induced risks such as droughts and floods, and the importance of agrometeorological insights in anticipating and mitigating pest and disease outbreaks. Contemporary and emerging themes—including crop–weather modeling, remote sensing, and the impacts of climate change on agriculture—are addressed in depth to equip readers with a holistic and forward-looking understanding of the subject. Complex scientific concepts are presented in an accessible and student-friendly manner, supported by examples and quantitative illustrations that encourage applied learning and analytical thinking.
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