Applications of Image Processing and Soft Computing Systems in Agriculture - Softcover

Softcover

ISBN 10: 1522591397 ISBN 13: 9781522591399

Publisher: IGI Global, 2019

Synopsis

The variety and abundance of qualitative characteristics of agricultural products have been the main reasons for the development of different types of non-destructive methods (NDTs). Quality control of these products is one of the most important tasks in manufacturing processes. The use of control and automation has become more widespread, and new approaches provide opportunities for production competition through new technologies.

Applications of Image Processing and Soft Computing Systems in Agriculture examines applications of artificial intelligence in agriculture and the main uses of shape analysis on agricultural products such as relationships between form and genetics, adaptation, product characteristics, and product sorting. Additionally, it provides insights developed through computer vision techniques. Highlighting such topics as deep learning, agribusiness, and augmented reality, it is designed for academicians, researchers, agricultural practitioners, and industry professionals.

About this title

About the Authors

Navid Razmjooy has a Ph.D. in Electrical Engineering/Control from Tafresh University (formerly Amirkabir University-Tafresh paradise). He born in 1988; he received his B.Sc. in electrical engineering from the Islamic Azad University of Ardabil Branch, Ardabil, Iran in 2009 and M.Sc. with honor in Mechatronics Engineering from Islamic Azad University, Majlesi Branch, Isfahan, Iran in 2011. He is a senior member of IEEE and young researchers club in the IA University (Majlesi Industrial Unit). His research interests include Control; Optimization; Image Processing, Machine Vision, Soft Computing, Data Mining, Evolutionary Algorithms, and System Control. He published about 74 papers and 3 books in Farsi and English in peer-reviewed journals and conferences and is now a reviewer in the national and international journals.

Vania Estrela has a B.S. degree from Federal University of Rio de Janeiro (UFRJ) in Electrical and Computer Engineering (ECE); M.Sc. from the Instituto Tecnológico de Aeronáutica (ITA), Sao Jose dos Campos; M.Sc. degree in ECE at Northwestern University, Evanston, Illinois (IL), USA; and Ph.D. in ECE from the Illinois Institute of Technology (IIT), Chicago, IL, USA. Taught at DeVry University; DePaul University; Universidade Estadual do Norte Fluminense (UENF), Campos de Goytacazes, Rio de Janeiro (RJ), Brazil; and for the Universidade Estadual da Zona Oeste (UEZO), Rio de Janeiro, RJ, Brazil. Visiting professor at the Polytechnic Institute of Rio de Janeiro (IPRJ)/State University of Rio de Janeiro (UERJ) in Nova Friburgo, RJ. Currently working at Universidade Federal Fluminense (UFF), Niterói, RJ for the Department of Telecommunications. Research interests include signal/image/video processing, inverse problems, computational and mathematical modeling, stochastic models, multimedia, communications, motion estimation, machine learning and geoprocessing. Reviewer for the following journals/magazines: IMAVIS (Elsevier); Pattern Recognition (Elsevier); Computers & Electrical Engineering (Elsevier); IET Image Processing; IET Computer Vision and International Journal of Image Processing (IJIP). Engaged in topics such as technology transfer, engineering/math/computer education, environmental issues and digital inclusion. Member of IEEE, and ACM. Editor of IJIP.

Edition details

• Publisher: IGI Global
• Publication date: 2019
• ISBN 10: 1522591397
• ISBN 13: 9781522591399
• Binding: Paperback
• Language: English
• Number of pages: 337
• Editor: Razmjooy Navid, Estrela Vania Vieira