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Deep network with score level fusion and inference-based transfer learning to recognize leaf blight and fruit rot diseases of eggplant

Haque, Md.R. and Sohel, F. (2022) Deep network with score level fusion and inference-based transfer learning to recognize leaf blight and fruit rot diseases of eggplant. Agriculture, 12 (8). Article 1160.

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Abstract

Eggplant is a popular vegetable crop. Eggplant yields can be affected by various diseases. Automatic detection and recognition of diseases is an important step toward improving crop yields. In this paper, we used a two-stream deep fusion architecture, employing CNN-SVM and CNN-Softmax pipelines, along with an inference model to infer the disease classes. A dataset of 2284 images was sourced from primary (using a consumer RGB camera) and secondary sources (the internet). The dataset contained images of nine eggplant diseases. Experimental results show that the proposed method achieved better accuracy and lower false-positive results compared to other deep learning methods (such as VGG16, Inception V3, VGG 19, MobileNet, NasNetMobile, and ResNet50).

Item Type: Journal Article
Murdoch Affiliation(s): IT, Media and Communications
Centre for Crop and Food Innovation
Food Futures Institute
Publisher: MDPI
Copyright: © 2022 by the authors
URI: http://researchrepository.murdoch.edu.au/id/eprint/65999
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