A customized convolutional neural network-based approach for weeds identification in cotton crops

A customized convolutional neural network-based approach for weeds identification in cotton crops

Smart farming is a hot research area for experts globally to fulfill the soaring demand for food. Automated approaches, based on convolutional neural networks (CNN), for crop disease identification, weed classification, and monitoring have substantially helped increase crop yields. Plant diseases an...

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Bibliographic Details
Main Authors: Hafiz Muhammad Faisal, Muhammad Aqib, Khalid Mahmood, Mejdl Safran, Sultan Alfarhood, Imran Ashraf
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Plant Science
Subjects:
deep learning
convolutional neural networks
object classification
cotton crops weeds
weeds detection
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2024.1435301/full
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