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    • Enhancing the performance of transferred efficientnet models in leaf image-based plant disease classification
    Authors: Bui, Thi Hanh; Hoang, Van Manh; Nguyen, Ngoc Viet;  Advisor: -;  Co-Author: - (2022)

    Plant-leaf diseases have become a significant threat to food security due to reducing the quantity and quality of agricultural products. Plant disease detection methods are commonly based on experience through manual observations of leaves. Developing fast, accurate, and automated techniques for identifying of crop diseases using computer vision and artificial intelligence (AI) can help overcome human shortcomings. In the current study, the EfficientNet architectures with pre-trained Noisy-Student weights were implemented using the transfer learning approach to classify leaf image-based healthy and diseased plant groups. The deep learning models were performed on the extended and enhanced PlantVillage datasets, consisting of leaf images of 14 different plant species, with background...
    • Enhancing the performance of transferred efficientnet models in leaf image-based plant disease classification
    Authors: Bui, Thi Hanh; Hoang, Van Manh; Ngoc-Viet Nguyen;  Advisor: -;  Co-Author: - (2022)

    Plant-leaf diseases have become a significant threat to food security due to reducing the quantity and quality of agricultural products. Plant disease detection methods are commonly based on experience through manual observations of leaves. Developing fast, accurate, and automated techniques for identifying of crop diseases using computer vision and artificial intelligence (AI) can help overcome human shortcomings. In the current study, the EfficientNet architectures with pre-trained Noisy-Student weights were implemented using the transfer learning approach to classify leaf image-based healthy and diseased plant groups. The deep learning models were performed on the extended and enhanced PlantVillage datasets, consisting of leaf images of 14 different plant species, with background...