Developing countries need access to the technological advancements of the modern world in order to apply these advancements to their small-scale operations. Applying newly discovered information concerning efficient energy to remote corners of the world will ensure small-scale businesses can conduct successful production and sale of agricultural products. Advanced Agro-Engineering Technologies for Rural Business Development is an essential reference source that examines technological methods and technical means that ensure the organization of production of various products and adapts them for application in small-scale production. Additionally, it seeks to organize an efficient production process in the face of energy resource scarcity and emphasizes the need to rationally use them. This book is ideally designed for students, managers, experts, and small businesses.
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Dr. Pandian Vasant is a senior lecturer at Department of Fundamental and Applied Sciences, Faculty of Science and Information Technology, Universiti Teknologi PETRONAS in Malaysia. He holds PhD (UNEM, Costa Rica) in Computational Intelligence, MSc (UMS, Malaysia, Engineering Mathematics) and BSc (2nd Class Upper- Hons, UM, Malaysia) in Mathematics. His research interests include Soft Computing, Hybrid Optimization, Holistic Optimization, Innovative Computing and Applications. He has co-authored research papers and articles in national journals, international journals, conference proceedings, conference paper presentation, and special issues lead guest editor, lead guest editor for book chapters' project, conference abstracts, edited books , keynote lecture and book chapters (175 publications indexed in SCOPUS). In the year 2009, Dr. Pandian Vasant was awarded top reviewer for the journal Applied Soft Computing (Elsevier) and awarded outstanding reviewer in the year 2015 for ASOC (Elsevier) journal. He has 26 years of working experience at the various universities from 1989-2017. Currently he is Editor-in-Chief of IJCO, IJSIEC, IEM, IJEOE and Editor of GJTO. H-Index SCOPUS Citations = 36, H-Index Google Scholar = 26, i-10 index = 76
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