2026-04-17T06:01:23Zhttps://recercat.cat/oai/request

oai:recercat.cat:20.500.12327/7512025-10-22T11:29:39Zcom_2072_4428com_2072_4427col_2072_487898

00925njm 22002777a 4500 dc Millán, Sandra author Casadesús, Jaume author Campillo, Carlos author Moñino, María José author Prieto, Maria Henar author 2019-10-02 The growing scarcity and competition for water resources requires the urgent implementation of measures to ensure their rational use. Farmers need affordable irrigation tools that allow them to take advantage of scientific know-how to improve water use efficiency in their common irrigation practices. The aim of this study is to test under field conditions, and adjust where required, an automated irrigation system that allows the establishment of regulated deficit irrigation (RDI) strategies in a stone fruit orchard. For this, an automated device with an algorithm which combines water-balance-based irrigation scheduling with a feedback adjustment mechanism using 15 capacitive sensors for continuous soil moisture measurement was used. The tests were carried out in 2016 and 2017 in Vegas Bajas del Guadiana (Extremadura, Spain) on an experimental plot of ‘Red Beaut’, an early-maturing Japanese plum cultivar. Three irrigation treatments were established: control, RDI and automatic. The control treatment was scheduled to cover crop water needs, a postharvest deficit irrigation (40% crop evapotranspiration (ETc)) strategy was applied in the RDI treatment, while the Automatic treatment simulated the RDI but without human intervention. After two years of testing, the automated system was able to “simulate” the irrigation scheduling programmed by a human expert without the need for human intervention. Millán, Casadesús, Campillo, José Moñino, and Henar Prieto. 2019. "Using Soil Moisture Sensors For Automated Irrigation Scheduling In A Plum Crop". Water 11 (10): 2061. doi:10.3390/w11102061. 2073-4441 http://hdl.handle.net/20.500.12327/751 https://doi.org/10.3390/w11102061 Using Soil Moisture Sensors for Automated Irrigation Scheduling in a Plum Crop