Irrigation Scheduling Based on Wireless Sensors Output and Soil-Water Characteristic Curve in Two Soils

Data-driven irrigation planning can optimize crop yield and reduce adverse impacts on surface and ground water quality. We evaluated an irrigation scheduling strategy based on soil matric potentials recorded by wireless Watermark (WM) sensors installed in sandy loam and clay loam soils and soil-wate...

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Detalles Bibliográficos
Autores principales: Jabro, J.D., Stevens, W.B., Iversen, W.M., Allen, B.L., Sainju, U.M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085626/
https://www.ncbi.nlm.nih.gov/pubmed/32121421
http://dx.doi.org/10.3390/s20051336

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085626/
https://www.ncbi.nlm.nih.gov/pubmed/32121421
http://dx.doi.org/10.3390/s20051336

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