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Disease Detection and Quality Analysis of Fruits and Vegetables

The growing requirement for object recognition techniques which are more �robust and efficient�, is in great demand and highly researched field. Checking the quality of any fruit or vegetable is tedious task and time consuming. The diseases present in the fruits and vegetables decreases the qual...

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Main Authors: Tyagi, S., Uppal, A., Kumar, R., Sharma, S.
Format: Article
Published: Springer Science and Business Media Deutschland GmbH 2021
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106423457&doi=10.1007%2f978-981-15-9956-9_58&partnerID=40&md5=8084b2e0e43e13d0db0ae2aa3668aa42
http://eprints.utp.edu.my/29549/
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spelling my.utp.eprints.295492022-03-25T02:09:00Z Disease Detection and Quality Analysis of Fruits and Vegetables Tyagi, S. Uppal, A. Kumar, R. Sharma, S. The growing requirement for object recognition techniques which are more �robust and efficient�, is in great demand and highly researched field. Checking the quality of any fruit or vegetable is tedious task and time consuming. The diseases present in the fruits and vegetables decreases the quality and the productivity. There is more involvement of scientists, mall owners and labor to identify the defected part in vegetables and fruits. This whole process consumes a lot of time which in turn damage the rest of production and result cataclysmic for farmers. To reduce the problem, we propose a method for the same as Disease Detection and Quality Analysis of Fruits and Vegetables. Implementing this proposed method can automate quality analysis and disease detection, furthermore consuming less time which in turn can be very beneficial and make it work more efficiently. It has tremendous real-life deployments which includes usage with wide of range processes and systems. This method can be used by the industrial systems or even in the smart home systems, which has even a wider scope. The industries which can use this system are cold storage market and farming industry to analyze fruits and vegetable disease. In addition, the method is entirely powerful against other systems because of the great level of automation of disease detection, which helps the medical research domain. Execution of this application will be a new addition automated and smart procedures. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Springer Science and Business Media Deutschland GmbH 2021 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106423457&doi=10.1007%2f978-981-15-9956-9_58&partnerID=40&md5=8084b2e0e43e13d0db0ae2aa3668aa42 Tyagi, S. and Uppal, A. and Kumar, R. and Sharma, S. (2021) Disease Detection and Quality Analysis of Fruits and Vegetables. Lecture Notes in Mechanical Engineering . pp. 591-599. http://eprints.utp.edu.my/29549/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description The growing requirement for object recognition techniques which are more �robust and efficient�, is in great demand and highly researched field. Checking the quality of any fruit or vegetable is tedious task and time consuming. The diseases present in the fruits and vegetables decreases the quality and the productivity. There is more involvement of scientists, mall owners and labor to identify the defected part in vegetables and fruits. This whole process consumes a lot of time which in turn damage the rest of production and result cataclysmic for farmers. To reduce the problem, we propose a method for the same as Disease Detection and Quality Analysis of Fruits and Vegetables. Implementing this proposed method can automate quality analysis and disease detection, furthermore consuming less time which in turn can be very beneficial and make it work more efficiently. It has tremendous real-life deployments which includes usage with wide of range processes and systems. This method can be used by the industrial systems or even in the smart home systems, which has even a wider scope. The industries which can use this system are cold storage market and farming industry to analyze fruits and vegetable disease. In addition, the method is entirely powerful against other systems because of the great level of automation of disease detection, which helps the medical research domain. Execution of this application will be a new addition automated and smart procedures. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
format Article
author Tyagi, S.
Uppal, A.
Kumar, R.
Sharma, S.
spellingShingle Tyagi, S.
Uppal, A.
Kumar, R.
Sharma, S.
Disease Detection and Quality Analysis of Fruits and Vegetables
author_facet Tyagi, S.
Uppal, A.
Kumar, R.
Sharma, S.
author_sort Tyagi, S.
title Disease Detection and Quality Analysis of Fruits and Vegetables
title_short Disease Detection and Quality Analysis of Fruits and Vegetables
title_full Disease Detection and Quality Analysis of Fruits and Vegetables
title_fullStr Disease Detection and Quality Analysis of Fruits and Vegetables
title_full_unstemmed Disease Detection and Quality Analysis of Fruits and Vegetables
title_sort disease detection and quality analysis of fruits and vegetables
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2021
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106423457&doi=10.1007%2f978-981-15-9956-9_58&partnerID=40&md5=8084b2e0e43e13d0db0ae2aa3668aa42
http://eprints.utp.edu.my/29549/
_version_ 1738656981582872576
score 13.211869

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