Development of Decision Support System Based on the Bayes ARD Algorithm for Irrigation of Cotton
Cotton is a plant, which is mainly cultivated in regions where the irrigation is necessary as rainwater is not adequate. Researches in the recent years have showed that the irrigation water used could be declined. Improvements in the technological field has made Decision Support Systems combined wit...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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AcademicPres
2021-11-01
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| Series: | Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca: Horticulture |
| Subjects: | |
| Online Access: | https://journals.usamvcluj.ro/index.php/horticulture/article/view/14252 |
| _version_ | 1818426292423360512 |
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| author | Dimitriοs LEONIDAKIS Evangelos PSOMAKELIS Christoforos Nikitas KASIMATIS Nikolaos KATSENIOS Ioanna KAKABOUKI Ioannis ROUSSIS Antonios MAVROEIDIS Aspasia EFTHIMIADOU |
| author_facet | Dimitriοs LEONIDAKIS Evangelos PSOMAKELIS Christoforos Nikitas KASIMATIS Nikolaos KATSENIOS Ioanna KAKABOUKI Ioannis ROUSSIS Antonios MAVROEIDIS Aspasia EFTHIMIADOU |
| author_sort | Dimitriοs LEONIDAKIS |
| collection | DOAJ |
| description | Cotton is a plant, which is mainly cultivated in regions where the irrigation is necessary as rainwater is not adequate. Researches in the recent years have showed that the irrigation water used could be declined. Improvements in the technological field has made Decision Support Systems combined with Neural Networks and data analysis, an important tool of sustainable agriculture. Cotton producers need to reduce irrigation water needs and that can be achieved by using new technologies. The development Decision Support System was conducted, having 3 different types of input. Data derived from a variety of IoT sensors, weather stations, and on-site measurements (yield and ΕΜ38) derived from 3 fields in Greece, creating a dataset of 9 different inputs. A total of 13 different algorithms were tested and evaluated in order to determine which one is the ideal for our dataset. The adoption of this technology in real data predicted the reduction of the irrigation times, ensuring that there will be no losses in the final yield. |
| first_indexed | 2024-12-14T14:27:31Z |
| format | Article |
| id | doaj.art-4f80c65871d6461ba68477aadbef2b2f |
| institution | Directory Open Access Journal |
| issn | 1843-5254 1843-5394 |
| language | English |
| last_indexed | 2024-12-14T14:27:31Z |
| publishDate | 2021-11-01 |
| publisher | AcademicPres |
| record_format | Article |
| series | Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca: Horticulture |
| spelling | doaj.art-4f80c65871d6461ba68477aadbef2b2f2022-12-21T22:57:54ZengAcademicPresBulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca: Horticulture1843-52541843-53942021-11-0178211211610.15835/buasvmcn-hort:2021.003111620Development of Decision Support System Based on the Bayes ARD Algorithm for Irrigation of CottonDimitriοs LEONIDAKIS0Evangelos PSOMAKELIS1Christoforos Nikitas KASIMATIS2Nikolaos KATSENIOS3Ioanna KAKABOUKI4Ioannis ROUSSIS5Antonios MAVROEIDIS6Aspasia EFTHIMIADOU7Farmacon G.P., K. Therimioti 25, Giannouli, Larisa, 41500 ThessalySchool of Electrical and Computer Engineering, National Technical University of Athens, 15780 AthensInstitute of Soil and Water Resources, Hellenic Agricultural Organization-Demeter, Sofokli Venizelou 1, Lycovrissi, 14123 AtticaInstitute of Soil and Water Resources, Hellenic Agricultural Organization-Demeter, Sofokli Venizelou 1, Lycovrissi, 14123 AtticaAgricultural University of Athens, 11855 AthensAgricultural University of Athens, 11855 AthensAgricultural University of Athens, 11855 AthensInstitute of Soil and Water Resources, Hellenic Agricultural Organization-Demeter, Sofokli Venizelou 1, Lycovrissi, 14123 AtticaCotton is a plant, which is mainly cultivated in regions where the irrigation is necessary as rainwater is not adequate. Researches in the recent years have showed that the irrigation water used could be declined. Improvements in the technological field has made Decision Support Systems combined with Neural Networks and data analysis, an important tool of sustainable agriculture. Cotton producers need to reduce irrigation water needs and that can be achieved by using new technologies. The development Decision Support System was conducted, having 3 different types of input. Data derived from a variety of IoT sensors, weather stations, and on-site measurements (yield and ΕΜ38) derived from 3 fields in Greece, creating a dataset of 9 different inputs. A total of 13 different algorithms were tested and evaluated in order to determine which one is the ideal for our dataset. The adoption of this technology in real data predicted the reduction of the irrigation times, ensuring that there will be no losses in the final yield.https://journals.usamvcluj.ro/index.php/horticulture/article/view/14252decision support systemsiot sensorscottonirrigationbayes ard. |
| spellingShingle | Dimitriοs LEONIDAKIS Evangelos PSOMAKELIS Christoforos Nikitas KASIMATIS Nikolaos KATSENIOS Ioanna KAKABOUKI Ioannis ROUSSIS Antonios MAVROEIDIS Aspasia EFTHIMIADOU Development of Decision Support System Based on the Bayes ARD Algorithm for Irrigation of Cotton Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca: Horticulture decision support systems iot sensors cotton irrigation bayes ard. |
| title | Development of Decision Support System Based on the Bayes ARD Algorithm for Irrigation of Cotton |
| title_full | Development of Decision Support System Based on the Bayes ARD Algorithm for Irrigation of Cotton |
| title_fullStr | Development of Decision Support System Based on the Bayes ARD Algorithm for Irrigation of Cotton |
| title_full_unstemmed | Development of Decision Support System Based on the Bayes ARD Algorithm for Irrigation of Cotton |
| title_short | Development of Decision Support System Based on the Bayes ARD Algorithm for Irrigation of Cotton |
| title_sort | development of decision support system based on the bayes ard algorithm for irrigation of cotton |
| topic | decision support systems iot sensors cotton irrigation bayes ard. |
| url | https://journals.usamvcluj.ro/index.php/horticulture/article/view/14252 |
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