Keywords
Crop Weather Modelling, Agricultural Meteorology, Crop Simulation Models, Crop Growth Modelling, DSSAT Model, APSIM Model, CropSyst Model, InfoCrop Model, Weather-Based Crop Forecasting, Climate-Smart Agriculture, Precision Agriculture, Remote Sensing in Agriculture, Crop Yield Prediction, Agrometeorology Applications, Dynamic Crop Simulation, Statistical Crop Models, Stochastic Crop Models, Climate Change and Crop Production, Agricultural Decision Support Systems, Weather and Climate Analytics in AgricultureCrop Weather Modelling
authored by: Prabhjyot-Kaur, Surender Singh, V Uma Maheswara Rao, BV Ramana RaoLength: 229 mm | Breadth: 18.5 mm | Height: 152 mm | Imprint: NIPA | Weight: GMS
This book will be available from 12-Jul-2026
Crop Weather Modeling provides a comprehensive and systematic understanding of the principles, techniques, and applications of crop weather models in modern agriculture. The book highlights the critical role of weather and climate in influencing crop growth, productivity, and agricultural sustainability. It traces the evolution of crop weather modelling from empirical approaches to advanced process-based simulation models such as DSSAT, APSIM, CropSyst, and InfoCrop. Special emphasis is placed on the integration of remote sensing, climate analysis, and agrometeorological advisory systems for precision agriculture and climate-resilient farming.
Designed in alignment with the ICAR postgraduate syllabus in Agricultural Meteorology, the book serves as an ideal academic and practical resource for students, researchers, academicians, and agricultural professionals. Combining theoretical foundations with practical applications, it addresses contemporary challenges related to climate variability, crop forecasting, and sustainable agricultural planning. The volume aims to strengthen scientific understanding and support data-driven decision-making for resilient and productive agricultural systems.
Chapter 1. Principles of Crop Production: An in-Depth Exploration
Chapter 2. Crop Weather Models
Chapter 3. Empirical and Statistical Crop Weather Models
Chapter 4. Dynamic Crop Growth Simulation Models
Chapter 5. InfoCrop Model
Chapter 6. APSIM Model
Chapter 7. CropSyst Model
Chapter 8. Stochastic Models
Chapter 9. Optimization, Calibration and Validation of Dynamic Crop Simulation Models
Chapter 10. Remote Sensing Inputs for Crop Growth Models and Yield Prediction