Irrigation-Advisor—A Decision Support System for Irrigation of Vegetable Crops
Climate change will intensify water scarcity, and therefore irrigation must be adapted to save water. Operational tools that provide watering recommendations to end-users are needed. This work presents a new tool, Irrigation-Advisor (IA), which is based on weather forecasts and is able to separat...
| Autores principales: | , , , , |
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| Formato: | article |
| Lenguaje: | Inglés |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.11939/6401 https://www.mdpi.com/2073-4441/11/11/2245 |
| _version_ | 1855032420377559040 |
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| author | Miras-Ávalos, José M. Rubio-Asensio, José S. Ramírez-Cuesta, Juan M. Maestre-Valero, José F. Intrigliolo, Diego S. |
| author_browse | Intrigliolo, Diego S. Maestre-Valero, José F. Miras-Ávalos, José M. Ramírez-Cuesta, Juan M. Rubio-Asensio, José S. |
| author_facet | Miras-Ávalos, José M. Rubio-Asensio, José S. Ramírez-Cuesta, Juan M. Maestre-Valero, José F. Intrigliolo, Diego S. |
| author_sort | Miras-Ávalos, José M. |
| collection | ReDivia |
| description | Climate change will intensify water scarcity, and therefore irrigation must be adapted
to save water. Operational tools that provide watering recommendations to end-users are needed.
This work presents a new tool, Irrigation-Advisor (IA), which is based on weather forecasts and is
able to separately determine soil evaporation and crop transpiration, and thus is adaptable to a broad
range of agricultural situations. By calculating several statistical indicators, IA was tested against the
FAO-56 crop evapotranspiration (ETcFAO) methodology using local crop coe cients. Additionally,
IA recommendations were compared with current standard practices by experienced farmers (F).
Six field experiments with four widely cultivated species (endive, lettuce, muskmelon and potato)
were performed in Southeast Spain. Irrigation water applied, crop yield, aboveground biomass and
water productivity were determined. Crop water needs underestimations (5%–20%) were detected
when comparing IA against ETcFAO, although the index of agreement proved reasonable adjustments.
The IA recommendations led to water savings up to 13% when compared to F, except for lettuce, with a
31% surplus in irrigation when using IA. Crop yield was not compromised and water productivity
was increased by IA. Therefore, IA mimicked the farmers0 irrigation strategies fairly well without
deploying sensors on-site. Nevertheless, improvements are needed for increasing the accuracy of
IA estimations. |
| format | article |
| id | ReDivia6401 |
| institution | Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | ReDivia64012025-04-25T14:46:59Z Irrigation-Advisor—A Decision Support System for Irrigation of Vegetable Crops Miras-Ávalos, José M. Rubio-Asensio, José S. Ramírez-Cuesta, Juan M. Maestre-Valero, José F. Intrigliolo, Diego S. Modelling F06 Irrigation Evapotranspiration Soil water balance Water use efficiency Weather forecasting Climate change will intensify water scarcity, and therefore irrigation must be adapted to save water. Operational tools that provide watering recommendations to end-users are needed. This work presents a new tool, Irrigation-Advisor (IA), which is based on weather forecasts and is able to separately determine soil evaporation and crop transpiration, and thus is adaptable to a broad range of agricultural situations. By calculating several statistical indicators, IA was tested against the FAO-56 crop evapotranspiration (ETcFAO) methodology using local crop coe cients. Additionally, IA recommendations were compared with current standard practices by experienced farmers (F). Six field experiments with four widely cultivated species (endive, lettuce, muskmelon and potato) were performed in Southeast Spain. Irrigation water applied, crop yield, aboveground biomass and water productivity were determined. Crop water needs underestimations (5%–20%) were detected when comparing IA against ETcFAO, although the index of agreement proved reasonable adjustments. The IA recommendations led to water savings up to 13% when compared to F, except for lettuce, with a 31% surplus in irrigation when using IA. Crop yield was not compromised and water productivity was increased by IA. Therefore, IA mimicked the farmers0 irrigation strategies fairly well without deploying sensors on-site. Nevertheless, improvements are needed for increasing the accuracy of IA estimations. 2020-04-24T16:10:09Z 2020-04-24T16:10:09Z 2019 article publishedVersion Mirás-Avalos, J. M., Rubio-Asensio, J. S., Ramírez-Cuesta, J. M., Maestre-Valero, J. F., & Intrigliolo, D. S. (2019). Irrigation-Advisor—A Decision Support System for Irrigation of Vegetable Crops. Water, 11(11), 2245. 2073-4441 http://hdl.handle.net/20.500.11939/6401 10.3390/w11112245 https://www.mdpi.com/2073-4441/11/11/2245 en Atribución-NoComercial-SinDerivadas 3.0 España Atribución-NoComercial-SinDerivadas 3.0 España http://creativecommons.org/licenses/by-nc-nd/3.0/es/ MDPI electronico |
| spellingShingle | Modelling F06 Irrigation Evapotranspiration Soil water balance Water use efficiency Weather forecasting Miras-Ávalos, José M. Rubio-Asensio, José S. Ramírez-Cuesta, Juan M. Maestre-Valero, José F. Intrigliolo, Diego S. Irrigation-Advisor—A Decision Support System for Irrigation of Vegetable Crops |
| title | Irrigation-Advisor—A Decision Support System for Irrigation of Vegetable Crops |
| title_full | Irrigation-Advisor—A Decision Support System for Irrigation of Vegetable Crops |
| title_fullStr | Irrigation-Advisor—A Decision Support System for Irrigation of Vegetable Crops |
| title_full_unstemmed | Irrigation-Advisor—A Decision Support System for Irrigation of Vegetable Crops |
| title_short | Irrigation-Advisor—A Decision Support System for Irrigation of Vegetable Crops |
| title_sort | irrigation advisor a decision support system for irrigation of vegetable crops |
| topic | Modelling F06 Irrigation Evapotranspiration Soil water balance Water use efficiency Weather forecasting |
| url | http://hdl.handle.net/20.500.11939/6401 https://www.mdpi.com/2073-4441/11/11/2245 |
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