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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-12-01
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Series: | Systems and Soft Computing |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2772941924000176 |