Revolutionizing plant disease management: a deep learning approach with EfficientNetB4 for early detection of plant diseases

Seyedali Hosseinirad; Fereshteh Shahoveisi; Hamed Taheri Gorji; Seyed Mojtaba Shahabi; Samuel Markell; Fartash Vasefi

doi:10.1117/12.3021914

7 June 2024 Revolutionizing plant disease management: a deep learning approach with EfficientNetB4 for early detection of plant diseases

Seyedali Hosseinirad, Fereshteh Shahoveisi, Hamed Taheri Gorji, Seyed Mojtaba Shahabi, Samuel Markell, Fartash Vasefi

Author Affiliations +

Proceedings Volume PC13060, Sensing for Agriculture and Food Quality and Safety XVI; PC1306007 (2024) https://doi.org/10.1117/12.3021914
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

Plant diseases jeopardize global food production, causing substantial yield and quality losses. Swift identification is vital for effective disease management, minimizing losses, and controlling costs. This study evaluated EfficientNetB4, a convolutional neural network, for rust disease detection in three key crops. The dataset, encompassing 857 positive and 907 negative samples from diverse environments, underwent a 70%-30% split for training and testing. Through rigorous optimization of optimizers and learning rates, results showcased EfficientNetB4's efficacy with a remarkable 94.29% average accuracy. The Adaptive Moment Estimation (Adam) optimizer excelled, paired with a 0.001 learning rate. These findings underscore the potential of deep learning, notably EfficientNetB4, in enhancing plant disease identification, contributing significantly to more efficient agricultural disease management. This research addresses immediate detection challenges and lays the groundwork for advancing agricultural technology and promoting global food security and sustainability.

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Seyedali Hosseinirad, Fereshteh Shahoveisi, Hamed Taheri Gorji, Seyed Mojtaba Shahabi, Samuel Markell, and Fartash Vasefi "Revolutionizing plant disease management: a deep learning approach with EfficientNetB4 for early detection of plant diseases", Proc. SPIE PC13060, Sensing for Agriculture and Food Quality and Safety XVI, PC1306007 (7 June 2024); https://doi.org/10.1117/12.3021914

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