HortNet417v1 - A Deep-Learning Architecture for the Automatic Detection of Pot-Cultivated Peach Plant Water Stress. - Md Parvez Islam; Takayoshi Yamane (Sensors, 2021)

ThelR547v1 - An Asymmetric Dilated Convolutional Neural Network for Real-time Semantic Segmentation of Horticultural Crops. - Md Parvez Islam; Kenji Hatou; Takanori Aihara; Masaki Kawahara; Soki Okamoto; Shuhei Senoo; Kirino Sumire (Sensors, 2022)

An Automated, Clip-Type, Small Internet of Things Camera-Based Tomato Flower and Fruit Monitoring and Harvest Prediction System. - Unseok Lee; Md Parvez Islam; Nobuo Kochi; Kenichi Tokuda; Yuka Nakano; Hiroki Naito; Yasushi Kawasaki; Tomohiko Ota; Tomomi Sugiyama; Dong-Hyuk Ahn (Sensors, 2022)

TheLR531v1 - A deep learning multi-branch CNN architecture for day-night automatic segmentation of horticultural crops. - Md Parvez Islam; K. Hatou (Comput. Electron. Agric., 2023)

Adaptive Back-Propagation Neural Network and Particle Swarm Optimization-Based Approach for Optimizing the Output Power Biogas Fueled Electric Generator. - Arief Abdurrakhman; Lilik Sutiarso; Makhmudun Ainuri; Mirwan Ushada; Md Parvez Islam (IEEE Access, 2024)

Artificial intelligence assisted tomato plant monitoring system - An experimental approach based on universal multi-branch general-purpose convolutional neural network. - Md Parvez Islam; Kenji Hatou (Comput. Electron. Agric., 2024)