Show simple item record

dc.contributor.authorMillán, Sandra
dc.contributor.authorCampillo, Carlos
dc.contributor.authorCasadesús, Jaume
dc.contributor.authorPérez-Rodríguez, Juan Manuel
dc.contributor.authorPrieto, Maria Henar
dc.contributor.otherProducció Vegetalca
dc.date.accessioned2020-12-10T16:26:58Z
dc.date.available2020-12-10T16:26:58Z
dc.date.issued2020-04-29
dc.identifier.citationMillán, Sandra, Carlos Campillo, Jaume Casadesús, Juan Manuel Pérez-Rodríguez, and Maria Henar Prieto. 2020. "Automatic Irrigation Scheduling On A Hedgerow Olive Orchard Using An Algorithm Of Water Balance Readjusted With Soil Moisture Sensors". Sensors 20 (9): 2526. doi:10.3390/s20092526.ca
dc.identifier.issn1424-8220ca
dc.identifier.urihttp://hdl.handle.net/20.500.12327/1012
dc.description.abstractRecent technological advances have made possible automated irrigation scheduling using decision-support tools. These tools help farmers to make better decisions in the management of their irrigation system, thus increasing yields while preserving water resources. The aim of this study is to evaluate in a commercial plot an automated irrigation system combined with remote-sensing techniques and soil mapping that allows the establishment of regulated deficit irrigation (RDI) strategies. The study was carried out over 3 years (2015–2017) in a commercial hedgerow olive orchard of the variety ‘Arbequina’ located in Alvarado (Extremadura, Spain). An apparent electrical conductivity (ECa) map and a normalized difference vegetation index (NDVI) map were generated to characterize the spatial variability of the plot and classify the zones in homogeneous areas. Then, reference points were selected to monitor the different irrigation sectors. In 2015, the plot was irrigated according to the farmer’s technical criteria throughout the plot. In 2016 and 2017, two different areas of the plot were irrigated applying an RDI strategy, one under expert supervision and the other automatically. The results show that in a heterogeneous plot the use of new technologies can be useful to establish the ideal location for an automatic irrigation system. Furthermore, automatic irrigation scheduling made it possible to establish an RDI strategy recommended by an expert, resulting in the homogenization of production throughout the plot without the need for human intervention.ca
dc.format.extent23ca
dc.language.isoengca
dc.publisherMDPIca
dc.relation.ispartofSensorsca
dc.rightsAttribution 4.0 Internationalca
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleAutomatic Irrigation Scheduling on a Hedgerow Olive Orchard Using an Algorithm of Water Balance Readjusted with Soil Moisture Sensorsca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.relation.projectIDINIA/Programa Estatal de promoción del talento y su empleabilidad en I+D+I/RTA2013-00045-C04-01/ES/Incorporación de inteligencia artificial en los algoritmos de reprogramación del riego localizado/ca
dc.subject.udc633ca
dc.identifier.doihttps://doi.org/10.3390/s20092526ca
dc.contributor.groupÚs Eficient de l'Aigua en Agriculturaca


Files in this item

 

This item appears in the following Collection(s)

Show simple item record

Attribution 4.0 International
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/