CNN based plant disease identification using PYNQ FPGA

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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Bibliographic Details
Main Authors: Vivek Karthick Perumal, Supriyaa T, Santhosh P R, Dhanasekaran S
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Systems and Soft Computing
Subjects:
CNN
Image Processing
Plant Disease
FPGA
PYNQ
Online Access:http://www.sciencedirect.com/science/article/pii/S2772941924000176
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