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Agricultural rout planning with variable rate pesticide application in a greenhouse environment

The use of robotics in executing agricultural tasks has significantly improved productivity over the years as a result of automation in performing such activities as spray, harvesting, planting etc. In order to optimize both crop yield and quality while minimizing costs, there will be need for the a...

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Main Authors: Zangina, Umar, Buyamin, Salinda, Zainal Abidin, Mohamad Shukri, Mahmud, Mohd. Saiful Azimi
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/96490/1/UmarZangina2021_AgriculturalRoutPlanningwithVariableRate.pdf
http://eprints.utm.my/id/eprint/96490/
http://dx.doi.org/10.1016/j.aej.2021.01.010
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spelling my.utm.964902022-07-24T11:16:44Z http://eprints.utm.my/id/eprint/96490/ Agricultural rout planning with variable rate pesticide application in a greenhouse environment Zangina, Umar Buyamin, Salinda Zainal Abidin, Mohamad Shukri Mahmud, Mohd. Saiful Azimi TK Electrical engineering. Electronics Nuclear engineering The use of robotics in executing agricultural tasks has significantly improved productivity over the years as a result of automation in performing such activities as spray, harvesting, planting etc. In order to optimize both crop yield and quality while minimizing costs, there will be need for the application of navigation strategies. These will provide optimal as well as autonomous navigation capability which is built entirely upon field coverage plan thereby making robot navigation approach a paramount scheme. In this paper, the autonomy of an agricultural mobile robot is enhanced in a structured environment (greenhouse farm) to locate an optimum route such that the robot performs a selective and variable spray of pesticides to the plants. To realize this, a robust vehicle routing problem (VRP) scheme is designed to navigate the robot autonomously while making intelligent decisions to fulfil the pesticide demands at each node (infected plants). The improved non-dominated sorting genetic algorithm (INSGA-III) is adopted to solve this fully integer problem based on three (3) test cases carried out with 8, 32 and 56 infected plants respectively for validation. The results obtained show a trade-off solution as the Optimal INSGA-III is significantly lower than NSGA-III in terms of solution quality. On the other hand, a significant reduction in run times of between 66% and 76% and 76–93% was obtained for all test case scenarios for population sizes of 100 and 1500 respectively. Elsevier B.V. 2021-06 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/96490/1/UmarZangina2021_AgriculturalRoutPlanningwithVariableRate.pdf Zangina, Umar and Buyamin, Salinda and Zainal Abidin, Mohamad Shukri and Mahmud, Mohd. Saiful Azimi (2021) Agricultural rout planning with variable rate pesticide application in a greenhouse environment. Alexandria Engineering Journal, 60 (3). pp. 3007-3020. ISSN 1110-0168 http://dx.doi.org/10.1016/j.aej.2021.01.010 DOI:10.1016/j.aej.2021.01.010
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Zangina, Umar
Buyamin, Salinda
Zainal Abidin, Mohamad Shukri
Mahmud, Mohd. Saiful Azimi
Agricultural rout planning with variable rate pesticide application in a greenhouse environment
description The use of robotics in executing agricultural tasks has significantly improved productivity over the years as a result of automation in performing such activities as spray, harvesting, planting etc. In order to optimize both crop yield and quality while minimizing costs, there will be need for the application of navigation strategies. These will provide optimal as well as autonomous navigation capability which is built entirely upon field coverage plan thereby making robot navigation approach a paramount scheme. In this paper, the autonomy of an agricultural mobile robot is enhanced in a structured environment (greenhouse farm) to locate an optimum route such that the robot performs a selective and variable spray of pesticides to the plants. To realize this, a robust vehicle routing problem (VRP) scheme is designed to navigate the robot autonomously while making intelligent decisions to fulfil the pesticide demands at each node (infected plants). The improved non-dominated sorting genetic algorithm (INSGA-III) is adopted to solve this fully integer problem based on three (3) test cases carried out with 8, 32 and 56 infected plants respectively for validation. The results obtained show a trade-off solution as the Optimal INSGA-III is significantly lower than NSGA-III in terms of solution quality. On the other hand, a significant reduction in run times of between 66% and 76% and 76–93% was obtained for all test case scenarios for population sizes of 100 and 1500 respectively.
format Article
author Zangina, Umar
Buyamin, Salinda
Zainal Abidin, Mohamad Shukri
Mahmud, Mohd. Saiful Azimi
author_facet Zangina, Umar
Buyamin, Salinda
Zainal Abidin, Mohamad Shukri
Mahmud, Mohd. Saiful Azimi
author_sort Zangina, Umar
title Agricultural rout planning with variable rate pesticide application in a greenhouse environment
title_short Agricultural rout planning with variable rate pesticide application in a greenhouse environment
title_full Agricultural rout planning with variable rate pesticide application in a greenhouse environment
title_fullStr Agricultural rout planning with variable rate pesticide application in a greenhouse environment
title_full_unstemmed Agricultural rout planning with variable rate pesticide application in a greenhouse environment
title_sort agricultural rout planning with variable rate pesticide application in a greenhouse environment
publisher Elsevier B.V.
publishDate 2021
url http://eprints.utm.my/id/eprint/96490/1/UmarZangina2021_AgriculturalRoutPlanningwithVariableRate.pdf
http://eprints.utm.my/id/eprint/96490/
http://dx.doi.org/10.1016/j.aej.2021.01.010
_version_ 1739828087271456768
score 13.211869

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