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Dynamic management zones for irrigation scheduling
dc.contributor.author | Fontanet Ambrós, Mireia |
dc.contributor.author | Scudiero, Elia |
dc.contributor.author | Skaggs, T.H. |
dc.contributor.author | Fernández García, Daniel |
dc.contributor.author | Ferrer, Fernado |
dc.contributor.author | Rodrigo, G |
dc.contributor.author | Bellvert, Joaquim |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental |
dc.date.accessioned | 2022-10-18T12:59:48Z |
dc.date.available | 2022-10-18T12:59:48Z |
dc.date.issued | 2020-08 |
dc.identifier.citation | Fontanet, M. [et al.]. Dynamic management zones for irrigation scheduling. "Agricultural water management", Agost 2020, vol. 238, p. 106207:1-106207:12. |
dc.identifier.issn | 0378-3774 |
dc.identifier.uri | http://hdl.handle.net/2117/374572 |
dc.description.abstract | Irrigation scheduling decision-support tools can improve water use efficiency by matching irrigation recommendations to prevailing soil and crop conditions within a season. Yet, little research is available on how to support real-time precision irrigation that varies within-season in both time and space. We investigate the integration of remotely sensed NDVI time-series, soil moisture sensor measurements, and root zone simulation forecasts for in-season delineation of dynamic management zones (MZ) and for a variable rate irrigation scheduling in order to improve irrigation scheduling and crop performance. Delineation of MZ was conducted in a 5.8-ha maize field during 2018 using Sentinel-2 NDVI time-series and an unsupervised classification. The number and spatial extent of MZs changed through the growing season. A network of soil moisture sensors was used to interpret spatiotemporal changes of the NDVI. Soil water content was a significant contributor to changes in crop vigor across MZs through the growing season. Real-time cluster validity function analysis provided in-season evaluation of the MZ design. For example, the total within-MZ daily soil moisture relative variance decreased from 85% (early vegetative stages) to below 25% (late reproductive stages). Finally, using the Hydrus-1D model, a workflow for in-season optimization of irrigation scheduling and water delivery management was tested. Data simulations indicated that crop transpiration could be optimized while reducing water applications between 11 and 28.5% across the dynamic MZs. The proposed integration of spatiotemporal crop and soil moisture data can be used to support management decisions to effectively control outputs of crop × environment × management interactions. |
dc.description.sponsorship | Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the U.S. Department of Agriculture. This study was supported by the European Commission Horizon 2020 Programme for Research and Innovation (H2020) in the context of the Marie Sklodowska-Curie Research and Innovation Staff Exchange (RISE) action (ACCWA project, grant agreement no.: 823965). This study was also funded by the project ‘Low Input Sustainable Agriculture (LISA)’ under the Operational program FEDER for Catalonia 2014‐2020 RIS3CAT (http://www.lisaproject.cat/introduction/). |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Canals i regadius |
dc.subject.lcsh | Irrigation -- Management -- Mathematical models |
dc.subject.other | Remote sensing |
dc.subject.other | Spatial variability |
dc.subject.other | Temporal variability |
dc.subject.other | Precision agriculture |
dc.subject.other | Soil moisture |
dc.subject.other | Hydrus-1D |
dc.title | Dynamic management zones for irrigation scheduling |
dc.type | Article |
dc.subject.lemac | Regatge -- Optimització matemàtica |
dc.contributor.group | Universitat Politècnica de Catalunya. GHS - Grup d'Hidrologia Subterrània |
dc.identifier.doi | 10.1016/j.agwat.2020.106207 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/abs/pii/S0378377419319821 |
dc.rights.access | Open Access |
local.identifier.drac | 29149761 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Fontanet, M.; Scudiero, E.; Skaggs, T.; Fernandez, D.; Ferrer, F.; Rodrigo, G.; Bellvert, J. |
local.citation.publicationName | Agricultural water management |
local.citation.volume | 238 |
local.citation.startingPage | 106207:1 |
local.citation.endingPage | 106207:12 |
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