Computer Vision and Machine Learning in Agriculture

Chapter 1. Introduction to Computer Vision and Machine Learning Applications in Agriculture.- Chapter 2. Robots and Drones in Agriculture - A Survey.- Chapter 3. Detection of Rotten Fruits and Vegetables using Deep Learning.- Chapter 4. Deep Learning-Based Essential Paddy Pests Filtration Technique: A Better Economic Damage Management Process.- Chapter 5. Deep CNN-Based Mango Insect Classification.- Chapter 6. Implementation of a Deep Convolutional Neural Network for the Detection of Tomato Leaf Diseases.- Chapter 7. A Multi-Plant Disease Diagnosis Method using Convolutional Neural Network.- Chapter 8. A Deep Learning-Based Approach for Potato Diseases Classification.- Chapter 9. An In-Depth Analysis of Different Segmentation Techniques in Automated Local Fruit Disease Recognition.- Chapter 10. Machine Vision Based Fruit and Vegetable Disease Recognition: A Review.- Chapter 11. An Efficient Bag-of-Features for Diseased Plant Identification.

Prof. Mohammad Shorif Uddin received his Ph.D. degree in Information Science from Kyoto Institute of Technology in 2002, Japan, Master of Technology Education degree from Shiga University, Japan, in 1999, Bachelor of Electrical and Electronic Engineering degree from Bangladesh University of Engineering and Technology in 1991, and also MBA from Jahangirnagar University in 2013.  He began his teaching career as Lecturer in 1991 at Bangladesh Institute of Technology, Chittagong (Renamed as CUET). He joined the Department of Computer Science and Engineering of Jahangirnagar University in 1992, and currently, he is Professor of this department. In addition, he is Teacher-in-Charge of ICT Cell of Jahangirnagar University. He served as Chairman of Computer Science and Engineering of Jahangirnagar University from June 2014 to June 2017. He undertook postdoctoral researches at Bioinformatics Institute, Singapore, Toyota Technological Institute, Japan, Kyoto Institute of Technology,Japan, Chiba University, Japan, Bonn University, Germany, and Institute of Automation, Chinese Academy of Sciences, China. His research is motivated by applications in the fields of artificial intelligence, imaging informatics, and computer vision. Mohammad Uddin is IEEE Senior Member and Fellow of Bangladesh Computer Society (BCS) and The Institution of Engineers Bangladesh (IEB). He has lectured a good number of undergraduate and graduate courses, wrote more than 125 journal and conference papers, and organized some national and international conferences and seminars. He had delivered a remarkable number of keynotes and invited talks and acted as General Chair as well as TPC Chair of many international conferences.  He holds two patents for his scientific inventions and received the Best Paper Award in the International Conference on Informatics, Electronics & Vision (ICIEV2013), Dhaka, Bangladesh, and Best Presenter Award from the International Conference on Computer Vision