Application of Machine Learning Models in Agricultural and Meteorological Sciences

Discover the groundbreaking insights in "Application of Machine Learning Models in Agricultural and Meteorological Sciences," authored by Mohammad Ehteram and published by Springer Verlag in 2023. This meticulously crafted hardback edition spans 196 pages and serves as an essential resource for meteorological organizations and agricultural professionals alike.

This book delves into advanced machine learning models that accurately estimate critical meteorological and agricultural variables. With a focus on the application of evolutionary algorithms, it offers a comprehensive understanding of how these innovative techniques can enhance predictive accuracy and decision-making in these vital fields. Whether you are a researcher, practitioner, or student, this book is an indispensable addition to your library, providing valuable knowledge at the intersection of technology and environmental sciences.