Sep 2026· International Journal of Machine Learning and Cybernetics· Vol 17· 0 citations· 32 references
TL;DR
A deep learning model designed to automatically detect grape leaf diseases based on images, using a pretrained ResNet50 which is trained on ImageNet as feature extractor and a Convolutional Block Attention Module to boost its discriminative capacity is introduced.
The experimental results demonstrate that AFS-PLDCNet achieved superior classification accuracy compared to existing single-backbone CNNs and is well-suited for real-time, field-level leaf disease classification and precision agriculture systems.
Neha Sawant, K. L. Bansal· Indian Journal of Agricultur...· 0 citations
This work proposes EfficientNet-CBAM-Prototype (ECP-Net), a unique end-to-end deep learning architecture that achieves 98.6% test accuracy, 98.59% F1-score, and 98.65% precision on the PlantVillage tomato subset, and proposes a two-phase training strategy wherein CBAM is frozen during phase 1 to allow prototype stabili...
E. Jansi, Kavitha Br· Frontiers in Plant Science· 0 citations
Manual identification of grape leaf disease is often slow and inconsistent because several symptoms have similar color, lesion, and texture patterns. This study aimed to develop an accurate and efficient web-based classification system for grape leaf disease using transfer learning with the EfficientNetB0 architecture...
Moh. Ainol Yaqin, Intan Purnama Sari, Olabode D. Ibini· Jurnal Pendidikan Teknologi...· 0 citations
Tomato leaf diseases pose a serious threat to crop productivity and require accurate and efficient identification methods. Traditional visual inspection is time-consuming and prone to human error, motivating the need for automated image-based classification approaches. This study aims to evaluate the effectiveness of d...
Guntur Guntur, Abdul Latief Arda, A. Affandy et al.· Jurnal Teknik Informatika (J...· 0 citations
Cotton production is frequently affected by leaf diseases that can reduce plant productivity, deteriorate crop quality, and cause considerable financial losses for farmers. Consequently, rapid and reliable disease identification is an important requirement for precision agriculture and effective crop protection. Conven...
P. S. Gupta· Natural Resources for Human...· 0 citations
A deep learning-based solution to automate disease detection of groundnut leaf conditions that outperformed existing methods such as ResNet50, CNN with progressive resizing, LeafNet and LeafNet and maintained low training and validation loss throughout training.
Jie-Shin Lin, Y. Tai, Suh-Chen Hsiao et al.· Legume Research An Internati...· 0 citations
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