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CNN based plant disease identification using PYNQ FPGA

This research presents a novel approach for plant disease identification utilizing Convolutional Neural Networks (CNNs) and the PYNQ FPGA platform. The study leverages the parallel processing capabilities of FPGAs to accelerate CNN inference, aiming to enhance the efficiency of plant disease detecti...

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Bibliografiske detaljer
Principais autores: Vivek Karthick Perumal, Supriyaa T, Santhosh P R, Dhanasekaran S
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2024-12-01
Serier:Systems and Soft Computing
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Online adgang:http://www.sciencedirect.com/science/article/pii/S2772941924000176
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