Weed Detection in Rice Fields Using Remote Sensing Technique: A Review

This paper reviewed the weed problems in agriculture and how remote sensing techniques can detect weeds in rice fields. The comparison of weed detection between traditional practices and automated detection using remote sensing platforms is discussed. The ideal stage for controlling weeds in rice fi...

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Autores principales: Rhushalshafira Rosle, Nik Norasma Che’Ya, Yuhao Ang, Fariq Rahmat, Aimrun Wayayok, Zulkarami Berahim, Wan Fazilah Fazlil Ilahi, Mohd Razi Ismail, Mohamad Husni Omar
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/90751a5326614ac1ab3efef3d0a0fc4c
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spelling oai:doaj.org-article:90751a5326614ac1ab3efef3d0a0fc4c2021-11-25T16:35:42ZWeed Detection in Rice Fields Using Remote Sensing Technique: A Review10.3390/app1122107012076-3417https://doaj.org/article/90751a5326614ac1ab3efef3d0a0fc4c2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10701https://doaj.org/toc/2076-3417This paper reviewed the weed problems in agriculture and how remote sensing techniques can detect weeds in rice fields. The comparison of weed detection between traditional practices and automated detection using remote sensing platforms is discussed. The ideal stage for controlling weeds in rice fields was highlighted, and the types of weeds usually found in paddy fields were listed. This paper will discuss weed detection using remote sensing techniques, and algorithms commonly used to differentiate them from crops are deliberated. However, weed detection in rice fields using remote sensing platforms is still in its early stages; weed detection in other crops is also discussed. Results show that machine learning (ML) and deep learning (DL) remote sensing techniques have successfully produced a high accuracy map for detecting weeds in crops using RS platforms. Therefore, this technology positively impacts weed management in many aspects, especially in terms of the economic perspective. The implementation of this technology into agricultural development could be extended further.Rhushalshafira RosleNik Norasma Che’YaYuhao AngFariq RahmatAimrun WayayokZulkarami BerahimWan Fazilah Fazlil IlahiMohd Razi IsmailMohamad Husni OmarMDPI AGarticleinvasive plantsprecision agricultureremote sensingrice farmingsite-specific weed managementTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10701, p 10701 (2021)
institution DOAJ
collection DOAJ
language EN
topic invasive plants
precision agriculture
remote sensing
rice farming
site-specific weed management
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
spellingShingle invasive plants
precision agriculture
remote sensing
rice farming
site-specific weed management
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Rhushalshafira Rosle
Nik Norasma Che’Ya
Yuhao Ang
Fariq Rahmat
Aimrun Wayayok
Zulkarami Berahim
Wan Fazilah Fazlil Ilahi
Mohd Razi Ismail
Mohamad Husni Omar
Weed Detection in Rice Fields Using Remote Sensing Technique: A Review
description This paper reviewed the weed problems in agriculture and how remote sensing techniques can detect weeds in rice fields. The comparison of weed detection between traditional practices and automated detection using remote sensing platforms is discussed. The ideal stage for controlling weeds in rice fields was highlighted, and the types of weeds usually found in paddy fields were listed. This paper will discuss weed detection using remote sensing techniques, and algorithms commonly used to differentiate them from crops are deliberated. However, weed detection in rice fields using remote sensing platforms is still in its early stages; weed detection in other crops is also discussed. Results show that machine learning (ML) and deep learning (DL) remote sensing techniques have successfully produced a high accuracy map for detecting weeds in crops using RS platforms. Therefore, this technology positively impacts weed management in many aspects, especially in terms of the economic perspective. The implementation of this technology into agricultural development could be extended further.
format article
author Rhushalshafira Rosle
Nik Norasma Che’Ya
Yuhao Ang
Fariq Rahmat
Aimrun Wayayok
Zulkarami Berahim
Wan Fazilah Fazlil Ilahi
Mohd Razi Ismail
Mohamad Husni Omar
author_facet Rhushalshafira Rosle
Nik Norasma Che’Ya
Yuhao Ang
Fariq Rahmat
Aimrun Wayayok
Zulkarami Berahim
Wan Fazilah Fazlil Ilahi
Mohd Razi Ismail
Mohamad Husni Omar
author_sort Rhushalshafira Rosle
title Weed Detection in Rice Fields Using Remote Sensing Technique: A Review
title_short Weed Detection in Rice Fields Using Remote Sensing Technique: A Review
title_full Weed Detection in Rice Fields Using Remote Sensing Technique: A Review
title_fullStr Weed Detection in Rice Fields Using Remote Sensing Technique: A Review
title_full_unstemmed Weed Detection in Rice Fields Using Remote Sensing Technique: A Review
title_sort weed detection in rice fields using remote sensing technique: a review
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/90751a5326614ac1ab3efef3d0a0fc4c
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