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The Comprehensive Review on Detection of Macro Nutrients Deficiency in Plants BAsed on The Image Processing Technique.

Images are a significant source of data and information in agricultural technologies. The use of image processing techniques had important implications for the analysis of smart farm. The analytical system using digital image processing would classify the nutrient deficiency symptoms much prior tha...

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Main Authors: Lia, Kamelia, T.K.A, Rahman, Hoga, Saragih, Reni, Haerani
Format: Conference or Workshop Item
Language:English
Published: 2020
Subjects:
HF Commerce
Online Access:http://ur.aeu.edu.my/822/1/09243623.pdf
http://ur.aeu.edu.my/822/
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id my-aeu-eprints.822
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spelling my-aeu-eprints.8222021-01-07T07:31:28Z http://ur.aeu.edu.my/822/ The Comprehensive Review on Detection of Macro Nutrients Deficiency in Plants BAsed on The Image Processing Technique. Lia, Kamelia T.K.A, Rahman Hoga, Saragih Reni, Haerani HF Commerce Images are a significant source of data and information in agricultural technologies. The use of image processing techniques had important implications for the analysis of smart farm. The analytical system using digital image processing would classify the nutrient deficiency symptoms much prior than a human could identify. This will enable the farmers to adopt appropriate corrective action in time. The paper discusses various methods used in the detection of nutrient deficiencies in plants based on visual images. The image processing techniques have several stages to get the best results in nutrient deficiency detection, namely image acquisition, image enhancement, image segmentation, and feature extraction. Based on the analyses, it is proved that the image processing technology can support the development of farming automation to accomplish the advantages of low price, high efficiency, and high accuracy. Through analysis and discussion, the paper proposed a new technique in every phase of image processing for the detection of nutrient deficiency as the basis of the implementation in future research. Consequently, the research will support the growth of agricultural automation equipment and systems in more smart approaches. 2020 Conference or Workshop Item PeerReviewed text en http://ur.aeu.edu.my/822/1/09243623.pdf Lia, Kamelia and T.K.A, Rahman and Hoga, Saragih and Reni, Haerani (2020) The Comprehensive Review on Detection of Macro Nutrients Deficiency in Plants BAsed on The Image Processing Technique. In: 6th International Conference on Wireless and Telematics (ICWT), 3-4 September 2020, Yogyakarta, Indonesia..
institution Asia e University
building AEU Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Asia e University
content_source AEU University Repository
url_provider http://ur.aeu.edu.my/
language English
topic HF Commerce
spellingShingle HF Commerce
Lia, Kamelia
T.K.A, Rahman
Hoga, Saragih
Reni, Haerani
The Comprehensive Review on Detection of Macro Nutrients Deficiency in Plants BAsed on The Image Processing Technique.
description Images are a significant source of data and information in agricultural technologies. The use of image processing techniques had important implications for the analysis of smart farm. The analytical system using digital image processing would classify the nutrient deficiency symptoms much prior than a human could identify. This will enable the farmers to adopt appropriate corrective action in time. The paper discusses various methods used in the detection of nutrient deficiencies in plants based on visual images. The image processing techniques have several stages to get the best results in nutrient deficiency detection, namely image acquisition, image enhancement, image segmentation, and feature extraction. Based on the analyses, it is proved that the image processing technology can support the development of farming automation to accomplish the advantages of low price, high efficiency, and high accuracy. Through analysis and discussion, the paper proposed a new technique in every phase of image processing for the detection of nutrient deficiency as the basis of the implementation in future research. Consequently, the research will support the growth of agricultural automation equipment and systems in more smart approaches.
format Conference or Workshop Item
author Lia, Kamelia
T.K.A, Rahman
Hoga, Saragih
Reni, Haerani
author_facet Lia, Kamelia
T.K.A, Rahman
Hoga, Saragih
Reni, Haerani
author_sort Lia, Kamelia
title The Comprehensive Review on Detection of Macro Nutrients Deficiency in Plants BAsed on The Image Processing Technique.
title_short The Comprehensive Review on Detection of Macro Nutrients Deficiency in Plants BAsed on The Image Processing Technique.
title_full The Comprehensive Review on Detection of Macro Nutrients Deficiency in Plants BAsed on The Image Processing Technique.
title_fullStr The Comprehensive Review on Detection of Macro Nutrients Deficiency in Plants BAsed on The Image Processing Technique.
title_full_unstemmed The Comprehensive Review on Detection of Macro Nutrients Deficiency in Plants BAsed on The Image Processing Technique.
title_sort comprehensive review on detection of macro nutrients deficiency in plants based on the image processing technique.
publishDate 2020
url http://ur.aeu.edu.my/822/1/09243623.pdf
http://ur.aeu.edu.my/822/
_version_ 1688551625958883328
score 13.211869

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