Handbook of Research on Smart Computing for Renewable Energy and Agro-Engineering
Core Reference Title

Handbook of Research on Smart Computing for Renewable Energy and Agro-Engineering

Noted as an IGI Global Core Reference Title in Environment & Agriculture for 2019.

Valeriy Kharchenko (Federal Scientific Agroengineering Center VIM, Russia) and Pandian Vasant (Universiti Teknologi Petronas, Malaysia)
Release Date: December, 2019|Copyright: © 2020 |Pages: 537
ISBN13: 9781799812166|ISBN10: 1799812162|EISBN13: 9781799812173|DOI: 10.4018/978-1-7998-1216-6

Description

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.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Bacterial Foraging
  • Bioenergy Recycling
  • Biofuel Supply Chain
  • Combinatorial Optimization
  • Data Analysis
  • Electric Networks
  • Evolutionary Computation
  • Forecasting
  • Seed Machines
  • Swarm Intelligence

Table of Contents and List of Contributors

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