Satapathy - Soft Computing and Optimization Techniques for Sustainable Agriculture (Smart Computing Applications)

Smart Computing Applications

Edited by

Volume

ISBN 9783110744958

e-ISBN (PDF) 9783110745368

e-ISBN (EPUB) 9783110745375

Bibliographic information published by the Deutsche Nationalbibliothek

The Deutsche Nationalbibliothek lists this publication in the Deutsche Nationalbibliografie; detailed bibliographic data are available on the Internet at http://dnb.dnb.de.

2022 Walter de Gruyter GmbH, Berlin/Boston

Debesh Mishra, Suchismita Satapathy, Dr. Prasenjit Chatterjee

Soft Computing and Optimization Techniques for Sustainable Agriculture

De Gruyter Series on Smart Computing Applications

Edited by Prasenjit Chatterjee, Dilbagh Panchal, Dragan Pamucar, Sarfaraz Hashemkhani Zolfani

Volume 4

Soft Computing and Optimization Techniques for Sustainable Agriculture

Authors

Dr. Suchismita Satapathy

KIIT Deemed to be University

KIIT Road

Odisha-751024

India

Dr. Debesh Mishra

KIIT Deemed to be University

KIIT Road

Odisha-751024

India

Dr. Prasenjit Chatterjee

MCKV Institute of Engineering

Department of Mechanical Engineering

243 G. T. Road North

Howrah Liluah-711204

India

ISBN 978-3-11-074495-8

e-ISBN (PDF) 978-3-11-074536-8

e-ISBN (EPUB) 978-3-11-074537-5

ISSN 2700-6239

Library of Congress Control Number: 2021952316

Bibliographic information published by the Deutsche Nationalbibliothek

The Deutsche Nationalbibliothek lists this publication in the Deutsche Nationalbibliografie; detailed

bibliographic data are available on the Internet at http://dnb.dnb.de.

2022 Walter de Gruyter GmbH, Berlin/Boston

Cover image: monsitj / iStock / Getty Images Plus

Printing and binding: CPI books GmbH, Leck

www.degruyter.com

I would like to take this opportunity to acknowledge a great many people who have contributed directly or indirectly to compile this book. I am very thankful and grateful to those people who have made this book possible. Further, my sincere gratitude and appreciation to my family members for their wholehearted support and encouragement, without which, I would not have been able to complete this professionally enriching and personally satisfying journey.

Debesh Mishra, PhD

I would like to deeply thank my publisher for giving me an opportunity to publish my content. Our publishers have also helped me a lot by taking precious time to help me carry out my experiments and encouraged me to complete my work accurately within the time I was given to do so. They have been a guiding force with encouragement to perform my work. I would like to thank my husband, Pravudatta Mishra, for encouraging me to complete my book project. My daughter, Meghana, also helped me a lot by giving me relaxation from some of her valuable family time. I would like to express my thanks to my father, Dr. R. B. Satapathy, and my mother, B. P. Mishra, my in-laws, Dr. S. N. Mishra and late Dr. B. M. Mishra, who has inspired me to work on this book. KIIT authority Prof. (Dr.) A. Samant is always an inspiration for me in achieving my goal. My colleagues, friends of KIIT, as well as my students all have equally encouraged me. At last, I would like to thank and owe my contribution before almighty God for invisible help.

Suchismita Satapathy, PhD

I express my sincere gratitude to the publisher and co-authors who have devoted their time and effort to make this highly comprehensive book possible.

Prasenjit Chatterjee, PhD

Agriculture plays an important role in developing countries and has become the backbone of their economic level. However, the findings of agricultural data have proven to be more useful for multiple purposes, and the farmers also need accurate suggestion for forecasting of the yield and farm-related productivity. For agricultural management, the emerging expert systems have been useful tools in providing integrated, area-specific, and interpreted prediction or forecasting and guidance in every aspect in agriculture. However, in order to achieve a sustainable agriculture, there is a need for an effective and useful application of these expert systems at optimum levels. Moreover, the use of soft-computing methods has been shown to have the ability to solve non-linear problems without mathematical models and the introduction of human knowledge, including cognition; confession; better understanding; and computer training that can create intelligent system. The use of soft-computing technology enables to model and analyze very complex-problems, while traditional methods cannot provide complete and inexpensive analytical solutions for such problems. Therefore, this intended book aims at covering all emerging global aspects in agriculture including the risks and opportunities available, the existing ergonomic risks, and effective management of agricultural activities through the applications of different computational and optimization techniques in order to achieve a sustainable agriculture.

This book is comprised of seven chapters. concludes the book while focusing on the benefits of soft-computing techniques. The utilization of soft-computing techniques in agriculture-based analysis in addition to latest machineries with the aid of Artificial Intelligence (AI) and/or Internet of Things (IoT) is recommended to be more beneficial to worldwide agricultural-systems.

AA: Agent-Architectures

AHP: Analytic Hierarchical-Process

AI: Artificial Intelligence

ANFIS: Adaptive Neural-Fuzzy Inference System

ANN: Artificial Neural-Network

ANP: Analytic Network-Process

ARIMA: Auto-Regressive Integrated Moving-Average

BSO: Brain-Storm Optimization

BT: Boosted-regression Tree

CFD: Computational Fluid Dynamics

DE: Differential-Evolution

EC: Evolutionary-Computing

ECI2: Economical-Impacts

EDAS: Evaluation based-on Distance from Average-Solution

ELM: Extreme Learning-Machine

ENVI3: Environmental-Impacts

EP: Evolutionary-Programming

FA: Firefly-Algorithm

FAO: Food and Agriculture Organization

FFS: Farmer Field Schools

FIS: Fuzzy-Inference System

FL: Fuzzy Logic

FMEA: Failure Mode and Effect Analysis

GA: Genetic Algorithm

GARCH: Generalized Auto-Regressive Conditional Hetroskedastic

GDP: Gross Domestic-Product

GEP: Gene-Expression Programming

GIS: Geographical Information-System

HPSO-GA: Hybrid Particle-Swarm Optimization and Genetic-Algorithms

HypoMgT: Hypomagnesaemic tetany

ICT: Information and Communication Technologies

IoT: Internet of Things

ISSA: International Social Security Association

MARS: Multivariate Adaptive-Regression Spline

MCDA: Multi-Criteria Decision-Analysis

MCDM: Multi-Criteria Decision-Making

MIMO: Multi Input and Output

MSDs: Musculoskeletal Disorders

MT/Year: Million-Tonnes/Year

MT: Model-Tree