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000908047 005__ 20231116095329.0
000908047 0247_ $$2doi$$a10.17660/ActaHortic.2022.1335.47
000908047 0247_ $$2ISSN$$a0567-7572
000908047 0247_ $$2ISSN$$a2406-6168
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000908047 037__ $$aFZJ-2022-02344
000908047 1001_ $$0P:(DE-HGF)0$$aDomínguez-Niño, J. M.$$b0$$eCorresponding author
000908047 1112_ $$aIX International Symposium on Irrigation of Horticultural Crops$$cMatera$$d2019-06-17 - 2019-06-17$$wItaly
000908047 245__ $$aReliability of capacitance type soil moisture sensors for their use in automated scheduling of drip irrigation in orchards
000908047 260__ $$c2022
000908047 300__ $$a381-387
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000908047 520__ $$aDrip irrigation applies water to the soil in an efficient way, reducing the wet surface and supplying water close to the root zone. However, it determines a heterogeneous distribution of water in the soil that complicates its monitoring with sensors. To this end, the purpose of this work was to characterize and understand the main sources of variability involved in the measurement with capacitance sensors in an apple orchard (Malus domestica, Golden Reinders). The results showed that (1) the main source of variability was the position and extension of wet bulbs, (2) thanks to Hydrus model, we could understand the uncertainty in soil water dynamics and (3) despite the variability, it was possible to automate the irrigation in an apple orchard and give to each plot the water doses that needed.
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000908047 536__ $$0G:(DE-HGF)POF4-2173$$a2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217)$$cPOF4-217$$fPOF IV$$x1
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000908047 7001_ $$0P:(DE-HGF)0$$aCasadesús, J.$$b1
000908047 7001_ $$0P:(DE-Juel1)129440$$aBogena, H. R.$$b2$$ufzj
000908047 7001_ $$0P:(DE-Juel1)129472$$aHuisman, J. A.$$b3$$ufzj
000908047 773__ $$a10.17660/ActaHortic.2022.1335.47$$gno. 1335, p. 381 - 388$$n1335$$p381 - 388$$y2022
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