Fusing deep learning features of triplet leaf image patterns to boost soybean cultivar identification
Computers and Electronics in Agriculture(2022)
摘要
•This research focuses on soybean cultivar identification which is known as a very fine-grained classification problem.•The first attempt on fusing deep features of triplet leaf image patterns is reported.•Two deep feature fusion methods, distance fusion and classifier fusion, are proposed.•A novel fine-tuning strategy that addresses the issue of few-shot soybean leaf image classification is designed.•The proposed method achieves an exciting accuracy of 83.55% on classifying 200 soybean cultivars.
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关键词
Soybean cultivar identification,Triplet leaf image patterns,Deep learning features,Deep features fusion
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