Unverified paper record
High-efficiency real-time rice leaf disease classification using convolutional neural network accelerator on FPGA for edge computing in precision agriculture
Measurement · 1 Dec 2025 · 10.1016/j.measurement.2025.118122
Abstract
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Plant phenotyping relevance
イネ葉の病害分類をCNNアクセラレータで実行する手法自体が題名の中心であり、植物病害状態の画像ベース表現型推定に該当する。
titleHigh-efficiency real-time rice leaf disease classification using convolutional neural network accelerator on FPGA for edge computing in precision agriculture
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