Comprehensive Evaluation of Soil Moisture Sensing Technology Applications Based on Analytic Hierarchy Process and Delphi

The demand for smart irrigation and water-saving practices in agriculture has triggered the development of different soil moisture sensing techniques that can operate under harsh field conditions. In this study, a soil moisture sensing technology appropriate for the field applications was comprehens...

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Autores principales: Limin Yu, Sha Tao, Yanzhao Ren, Wanlin Gao, Xinliang Liu, Yongkang Hu, Redmond R. Shamshiri
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Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:d3c776def8c3449cbc2ae8e0ee3e0b992021-11-25T15:59:26ZComprehensive Evaluation of Soil Moisture Sensing Technology Applications Based on Analytic Hierarchy Process and Delphi10.3390/agriculture111111162077-0472https://doaj.org/article/d3c776def8c3449cbc2ae8e0ee3e0b992021-11-01T00:00:00Zhttps://www.mdpi.com/2077-0472/11/11/1116https://doaj.org/toc/2077-0472The demand for smart irrigation and water-saving practices in agriculture has triggered the development of different soil moisture sensing techniques that can operate under harsh field conditions. In this study, a soil moisture sensing technology appropriate for the field applications was comprehensively evaluated. From a qualitative and quantitative perspective, the Delphi and analytic hierarchy process methods were used to construct an index system involving technological advantage, economic benefit, risk analysis, policy support, four second-level indicators, and 23 fourth-level indicators. The results showed that economic benefits account for the largest weight. The practical evaluation resulted in 12 farms that showed that the selected soil water sensing methods performed reasonably and exhibited obvious water-saving irrigation benefits, which are usually used for scheduling irrigation. The overall score of M4 in different soil types was 0.2% lower than that of M5. Farms with reasonable economic conditions and a high awareness scored 5.3% higher on technology than those with modest economic conditions, which clearly affects the evaluation scores of the two technologies. The evaluation results help farmers and government decision-making bodies in technology selection, production decision-making, and risk control.Limin YuSha TaoYanzhao RenWanlin GaoXinliang LiuYongkang HuRedmond R. ShamshiriMDPI AGarticlesoil water sensing technologyindex systemcomprehensive evaluationanalytic hierarchy processAgriculture (General)S1-972ENAgriculture, Vol 11, Iss 1116, p 1116 (2021)
institution DOAJ
collection DOAJ
language EN
topic soil water sensing technology
index system
comprehensive evaluation
analytic hierarchy process
Agriculture (General)
S1-972
spellingShingle soil water sensing technology
index system
comprehensive evaluation
analytic hierarchy process
Agriculture (General)
S1-972
Limin Yu
Sha Tao
Yanzhao Ren
Wanlin Gao
Xinliang Liu
Yongkang Hu
Redmond R. Shamshiri
Comprehensive Evaluation of Soil Moisture Sensing Technology Applications Based on Analytic Hierarchy Process and Delphi
description The demand for smart irrigation and water-saving practices in agriculture has triggered the development of different soil moisture sensing techniques that can operate under harsh field conditions. In this study, a soil moisture sensing technology appropriate for the field applications was comprehensively evaluated. From a qualitative and quantitative perspective, the Delphi and analytic hierarchy process methods were used to construct an index system involving technological advantage, economic benefit, risk analysis, policy support, four second-level indicators, and 23 fourth-level indicators. The results showed that economic benefits account for the largest weight. The practical evaluation resulted in 12 farms that showed that the selected soil water sensing methods performed reasonably and exhibited obvious water-saving irrigation benefits, which are usually used for scheduling irrigation. The overall score of M4 in different soil types was 0.2% lower than that of M5. Farms with reasonable economic conditions and a high awareness scored 5.3% higher on technology than those with modest economic conditions, which clearly affects the evaluation scores of the two technologies. The evaluation results help farmers and government decision-making bodies in technology selection, production decision-making, and risk control.
format article
author Limin Yu
Sha Tao
Yanzhao Ren
Wanlin Gao
Xinliang Liu
Yongkang Hu
Redmond R. Shamshiri
author_facet Limin Yu
Sha Tao
Yanzhao Ren
Wanlin Gao
Xinliang Liu
Yongkang Hu
Redmond R. Shamshiri
author_sort Limin Yu
title Comprehensive Evaluation of Soil Moisture Sensing Technology Applications Based on Analytic Hierarchy Process and Delphi
title_short Comprehensive Evaluation of Soil Moisture Sensing Technology Applications Based on Analytic Hierarchy Process and Delphi
title_full Comprehensive Evaluation of Soil Moisture Sensing Technology Applications Based on Analytic Hierarchy Process and Delphi
title_fullStr Comprehensive Evaluation of Soil Moisture Sensing Technology Applications Based on Analytic Hierarchy Process and Delphi
title_full_unstemmed Comprehensive Evaluation of Soil Moisture Sensing Technology Applications Based on Analytic Hierarchy Process and Delphi
title_sort comprehensive evaluation of soil moisture sensing technology applications based on analytic hierarchy process and delphi
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/d3c776def8c3449cbc2ae8e0ee3e0b99
work_keys_str_mv AT liminyu comprehensiveevaluationofsoilmoisturesensingtechnologyapplicationsbasedonanalytichierarchyprocessanddelphi
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