Identification of bacterial leaf streak and scab in wheat using multimode imaging and deep learning

Sayed Asaduzzaman; Gregory Bearman; Stanislav Sokolov; Gabriel Dusek; Andrew Friskop; Hamed Taheri Gorji; Kaylee Husarik; Jianwei Qin; Moon S. Kim; Fartash Vasefi; Hossein Kashani Zadeh

doi:10.1117/12.3014194

10 June 2024 Identification of bacterial leaf streak and scab in wheat using multimode imaging and deep learning

Sayed Asaduzzaman, Gregory Bearman, Stanislav Sokolov, Gabriel Dusek, Andrew Friskop, Hamed Taheri Gorji, Kaylee Husarik, Jianwei Qin, Moon S. Kim, Fartash Vasefi, Hossein Kashani Zadeh

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Proceedings Volume PC13060, Sensing for Agriculture and Food Quality and Safety XVI; PC130600L (2024) https://doi.org/10.1117/12.3014194
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

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Abstract

This paper presents an innovative approach for early detection of wheat diseases, particularly Bacterial Leaf Streak (BLS) and Scab, using a combination of hyperspectral, infrared, and RGB imaging along with Deep Convolutional Neural Networks (DCNNs). The method leverages both spatial and spectral information from wheat seed images, achieving remarkable disease classification accuracy. Advanced image preprocessing, segmentation, and feature extraction techniques are applied, and attention mechanisms enhance model robustness. The study's results outperform existing techniques, demonstrating the potential of multimodal data integration and deep learning in precision agriculture for effective wheat disease management, ultimately leading to increased global agricultural yields and reduced losses.

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Sayed Asaduzzaman, Gregory Bearman, Stanislav Sokolov, Gabriel Dusek, Andrew Friskop, Hamed Taheri Gorji, Kaylee Husarik, Jianwei Qin, Moon S. Kim, Fartash Vasefi, and Hossein Kashani Zadeh "Identification of bacterial leaf streak and scab in wheat using multimode imaging and deep learning", Proc. SPIE PC13060, Sensing for Agriculture and Food Quality and Safety XVI, PC130600L (10 June 2024); https://doi.org/10.1117/12.3014194

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