A Review of CNN Applications in Smart Agriculture Using Multimodal Data

Sakka, Mohammad El; Ivanovici, Mihai; Chaâri, Lotfi; Mothe, Josiane

doi:10.3390/s25020472

reviewSensorsJan 15, 2025GOLD OA

A Review of CNN Applications in Smart Agriculture Using Multimodal Data

MEMohammad El Sakka MIMihai Ivanovici LCLotfi Chaâri JMJosiane Mothe

Centre National de la Recherche Scientifique · Université Toulouse III - Paul Sabatier · +7 more institutions

PubMed

Indexed incrossrefdoajpubmed

Abstract

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 of more than 115 recent studies, coupled with a bibliometric study of the broader literature, this paper contextualizes the use of CNNs within Agriculture 5.0, where technological integration optimizes agricultural efficiency. Key approaches analyzed involve image classification, image segmentation, regression, and object detection methods that use diverse data types ranging from RGB and multispectral images to…

Citation impact

119

total citations

FWCI: 157.34
Percentile: 100%
References: 184

Citations per year

Authors

4

Topics & keywords

Topics

Keywords

Computer science
Convolutional neural network
Multispectral image
Machine learning
Deep learning
Big data
Data science
Artificial intelligence

UN Sustainable Development Goals

Zero hunger

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