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The book entitled “Crop Weather Modelling: Tools for Climate Smart Agriculture” comprises the innovative techniques and metho-dologies essential for modern agricultural practices. The book provides a detailed examination of international efforts and the significant role of space technologies in enhancing crop weather modelling. It discusses the use of crop growth models to assess the impacts of climate change, offering insights into geospatial crop modelling for climate risk and impact assessment, with an emphasis on simulation models. The book highlights their application in understanding climate variability and developing resilient agricultural systems. The integration of machine learning and artificial intelligence in crop yield modelling is explored, demonstrating how these advanced technologies can optimize farming decisions and improve yield predictions. The book also addresses the importance of understanding weather-climate anomalies and their influence on crop performance, providing strategies for climate-smart agriculture. Furthermore, it covers crop weather pest models, ensemble modelling for climate studies, and the utilization of crop simulation models for effective agricultural planning and resource management. By offering a comprehensive understanding of crop weather modelling tools, this book serves as a valuable resource for educators, students, researchers, and farmers. It aims to facilitate the exchange of ideas and promote the adoption of climate-smart agricultural practices to ensure sustainable and resilient food production systems in the face of changing climatic conditions.