Overview

Full Product Details

Author:   M. F. Mridha ,  Nilanjan Dey
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Volume:   1202
ISBN:  

9789819645190

ISBN 10:   9819645190
Pages:   264
Publication Date:   19 July 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Forthcoming
Availability:   Not yet available  
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

Towards Explainable AI in Agriculture: SHAP-Interpretable Vision Transformer for Bean Disease Classification.- Challenges and Opportunities with Deep Learning and Computer Vision in disease free Agricultural Product Manufacturing.- Improving Agronomic Disease Detection and Classification: The Superiority of Hybrid Inception-Xception Ensemble Model for Rice Leaf Disease Classification.- Banana Leaf Spot Disease Detection using Deep Learning Algorithms.- A Computer Vision based Approach for Rice Pest Detection Using Deep Learning.- Revolutionizing Agriculture: Deep Learning Models for Crop Pest and Disease Analysis.- Corn Leaf Disease Detection Using Deep Convolutional Neural Networks and Grad-CAM Explainability.- A Hybrid CNN Architecture for Efficient Detection of Maize Plant Diseases.- Deep Learning based  watermelon leaf Disease Classification.- Deploying CNN-ResNet50-BiLSTM for Paddy Leaf Disease Detection.

Reviews

Author Information

M. F. Mridha (Senior Member IEEE, Professional Member ACM) is currently working as Associate Professor in the Department of Computer Science, American International University-Bangladesh (AIUB). He also worked as Associate Professor and Chairman in the Department of Computer Science and Engineering, Bangladesh University of Business and Technology (BUBT), from 2019 to 2022 and as CSE Department Faculty Member at the University of Asia Pacific and as Graduate Head from 2012 to 2019. He is Founder and Director of Advanced Machine Intelligence Research Lab (AMIR Lab). He received his Ph.D. in the domain of AI from Jahangirnagar University in the year 2017. For more than 18 years, he has been with the master’s and undergraduate students as Supervisor of their thesis work. He has authored/edited several books with Springer and published more than 280 journal and conference papers. He has served as Program Committee Member in several international conferences/workshops. Nilanjan Dey received the B.Tech., M.Tech. in information technology from West Bengal Board of Technical University and Ph.D. degrees in electronics and telecommunication engineering from Jadavpur University, Kolkata, India, in 2005, 2011, and 2015, respectively. Currently, he is Associate Professor with the Techno International New Town, Kolkata, and Visiting Fellow of the University of Reading, UK. He is Editor-in-Chief of International Journal of Ambient Computing and Intelligence, Associate Editor of IEEE Transactions on Technology and Society, and Series Co-Editor of Springer Tracts in Nature-Inspired Computing and Data-Intensive Research from Springer Nature and Advances in Ubiquitous Sensing Applications for Healthcare from Elsevier, etc. He is Fellow of IETE and Senior Member of IEEE.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions