Analysis of Water Consumption in Fruit and Vegetable Processing Plants with the Use of Artificial Intelligence

Fruit and vegetable processing has a significant impact on the environment due to its consumption of a significant amount of water. Water consumption mainly depends on the type of production and the technology used. Water in fruit and vegetable processing plants is used as a raw material, an energy...

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Autores principales: Jędrzej Trajer, Radosław Winiczenko, Bogdan Dróżdż
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Lenguaje:EN
Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:6aacc4f959284a0c85c516fcd74c2d362021-11-11T15:13:39ZAnalysis of Water Consumption in Fruit and Vegetable Processing Plants with the Use of Artificial Intelligence10.3390/app1121101672076-3417https://doaj.org/article/6aacc4f959284a0c85c516fcd74c2d362021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10167https://doaj.org/toc/2076-3417Fruit and vegetable processing has a significant impact on the environment due to its consumption of a significant amount of water. Water consumption mainly depends on the type of production and the technology used. Water in fruit and vegetable processing plants is used as a raw material, an energy carrier, and in hydro transport, as well as for washing raw materials and maintaining production hygiene. The variety of technological operations carried out in the production process and the seasonality of production make it difficult to objectively assess the use of water in fruit and vegetable processing plants. Few available publications in this field provide numerical values of water unit consumption indices, with none entering into the cause-and-effect relationships of water use in plants in this industry. The aim of this study was to analyze the research to date and to verify the following research hypothesis: the structure of processing and the relationship between the weights of individual products have an impact on water consumption in fruit and vegetable processing plants. For this purpose, neural models of water consumption were developed for the largest agri-food processing plants in Poland that use similar technology. Water consumption was then optimized using genetic algorithms for the processing structure. The results confirmed the hypothesis that production structure has a significant impact on the rationalization of water consumption. The optimization results show that the production of concentrates, juices, and drinks has the greatest impact on water consumption. The lowest water consumption will be achieved when the production of concentrates is at a 2 to 1 ratio to the production of juices and drinks.Jędrzej TrajerRadosław WiniczenkoBogdan DróżdżMDPI AGarticlefruit and vegetable processingwater consumptionartificial neural networksgenetic algorithmTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10167, p 10167 (2021)
institution DOAJ
collection DOAJ
language EN
topic fruit and vegetable processing
water consumption
artificial neural networks
genetic algorithm
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
spellingShingle fruit and vegetable processing
water consumption
artificial neural networks
genetic algorithm
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Jędrzej Trajer
Radosław Winiczenko
Bogdan Dróżdż
Analysis of Water Consumption in Fruit and Vegetable Processing Plants with the Use of Artificial Intelligence
description Fruit and vegetable processing has a significant impact on the environment due to its consumption of a significant amount of water. Water consumption mainly depends on the type of production and the technology used. Water in fruit and vegetable processing plants is used as a raw material, an energy carrier, and in hydro transport, as well as for washing raw materials and maintaining production hygiene. The variety of technological operations carried out in the production process and the seasonality of production make it difficult to objectively assess the use of water in fruit and vegetable processing plants. Few available publications in this field provide numerical values of water unit consumption indices, with none entering into the cause-and-effect relationships of water use in plants in this industry. The aim of this study was to analyze the research to date and to verify the following research hypothesis: the structure of processing and the relationship between the weights of individual products have an impact on water consumption in fruit and vegetable processing plants. For this purpose, neural models of water consumption were developed for the largest agri-food processing plants in Poland that use similar technology. Water consumption was then optimized using genetic algorithms for the processing structure. The results confirmed the hypothesis that production structure has a significant impact on the rationalization of water consumption. The optimization results show that the production of concentrates, juices, and drinks has the greatest impact on water consumption. The lowest water consumption will be achieved when the production of concentrates is at a 2 to 1 ratio to the production of juices and drinks.
format article
author Jędrzej Trajer
Radosław Winiczenko
Bogdan Dróżdż
author_facet Jędrzej Trajer
Radosław Winiczenko
Bogdan Dróżdż
author_sort Jędrzej Trajer
title Analysis of Water Consumption in Fruit and Vegetable Processing Plants with the Use of Artificial Intelligence
title_short Analysis of Water Consumption in Fruit and Vegetable Processing Plants with the Use of Artificial Intelligence
title_full Analysis of Water Consumption in Fruit and Vegetable Processing Plants with the Use of Artificial Intelligence
title_fullStr Analysis of Water Consumption in Fruit and Vegetable Processing Plants with the Use of Artificial Intelligence
title_full_unstemmed Analysis of Water Consumption in Fruit and Vegetable Processing Plants with the Use of Artificial Intelligence
title_sort analysis of water consumption in fruit and vegetable processing plants with the use of artificial intelligence
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/6aacc4f959284a0c85c516fcd74c2d36
work_keys_str_mv AT jedrzejtrajer analysisofwaterconsumptioninfruitandvegetableprocessingplantswiththeuseofartificialintelligence
AT radosławwiniczenko analysisofwaterconsumptioninfruitandvegetableprocessingplantswiththeuseofartificialintelligence
AT bogdandrozdz analysisofwaterconsumptioninfruitandvegetableprocessingplantswiththeuseofartificialintelligence
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