Automatic Irrigation Scheduling on a Hedgerow Olive Orchard Using an Algorithm of Water Balance Readjusted with Soil Moisture Sensors
Visualitza/Obre
Autor/a
Millán, Sandra
Campillo, Carlos
Casadesús, Jaume
Pérez-Rodríguez, Juan Manuel
Prieto, Maria Henar
Data de publicació
2020-04-29ISSN
1424-8220
Resum
Recent 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.
Tipus de document
Article
Versió del document
Versió publicada
Llengua
English
Matèries (CDU)
633 - Cultius i produccions
Pàgines
23
Publicat per
MDPI
Publicat a
Sensors
Citació
Millán, 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.
Número de l'acord de la subvenció
INIA/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/
Programa
Ús Eficient de l'Aigua en Agricultura
Aquest element apareix en la col·lecció o col·leccions següent(s)
- ARTICLES CIENTÍFICS [2831]
Excepte que s'indiqui una altra cosa, la llicència de l'ítem es descriu com http://creativecommons.org/licenses/by/4.0/