Machine Learning and Artificial Intelligence for Agricultural Economics: Prognostic Data Analytics for Small-Scale Farmers Worldwide
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Machine Learning and Artificial Intelligence for Agricultural Economics provides a comprehensive overview of the latest advancements in AI and ML for agricultural economics.
It covers a wide range of topics, including data collection and analysis, predictive modeling, and decision-making.
The book is written in a clear and concise style, making it accessible to readers with a variety of backgrounds.
It is an essential resource for anyone interested in using AI and ML to improve agricultural productivity and sustainability.
The book provides practical guidance on how to use AI and ML to solve real-world problems in agricultural economics.
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