A Review of CNN Applications in Smart Agriculture Using Multimodal Data

A Review of CNN Applications in Smart Agriculture Using Multimodal Data

This review explores the applications of Convolutional Neural Networks (CNNs) in smart agriculture, highlighting recent advancements across various applications including weed detection, disease detection, crop classification, water management, and yield prediction. Based on a comprehensive analysis...

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Bibliographic Details
Main Authors: Mohammad El Sakka, Mihai Ivanovici, Lotfi Chaari, Josiane Mothe
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
convolutional neural network
smart agriculture
weed detection
crop disease detection
crop classification
yield prediction
Online Access:https://www.mdpi.com/1424-8220/25/2/472
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