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This handbook provides a holistic overview of different aspects of energy management in agriculture with an orientation to address the sustainable development goals. It covers possible applications not only from a technical point of view, but also from economic, financial, social, regulatory, and political viewpoints. Agriculture is one of the most imperative sectors that contribute to the economy across different agro-ecologies of the universe with energy inputs in each stage of production, from making and applying chemicals to fueling tractors that lay seeds and harvest crops to electricity for animal housing facilities. The majority of agricultural research has focused on the use of input...
The rise in population and the concurrently growing consumption rate necessitates the evolution of agriculture to adopt current computational technologies to increase production at a faster and smoother scale. While existing technologies may help in crop processing, there is a need for studies that seek to understand how modern approaches like artificial intelligence, fuzzy logic, and hybrid algorithms can aid the agricultural process while utilizing energy sources efficiently. The Handbook of Research on Smart Computing for Renewable Energy and Agro-Engineering is an essential publication that examines the benefits and barriers of implementing computational models to agricultural production and energy sources as well as how these models can produce more cost-effective and sustainable solutions. Featuring coverage on a wide range of topics such as bacterial foraging, swarm intelligence, and combinatorial optimization, this book is ideally designed for agricultural engineers, farmers, municipal union leaders, computer scientists, information technologists, sustainable developers, managers, environmentalists, industry professionals, academicians, researchers, and students.
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