FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2883153886> ?p ?o ?g. }

• W2883153886 endingPage "477" @default.
• W2883153886 startingPage "465" @default.
• W2883153886 abstract "Irrigated agriculture is very important for securing food production for an increasing population over the next decades. Given scarcity of water resources, optimal irrigation management is needed to reduce water while realizing maximal crop productivity. The new method of integrating soil water content measurements and the Community Land Model (CLM) using sequential data assimilation (DA) is promising to improve the prediction of soil water status and efficiently design irrigation strategies. Soil water content measured by FDR (Frequency Domain Reflectometry) was assimilated into CLM by LETKF (Local Ensemble Transform Kalman Filter) to improve model predictions. Atmospheric input data from GFS (Global Forecast System) were used to force CLM in order to predict short-term soil water contents. The irrigation amount was then calculated on the basis of the difference between predicted and targeted soil water content over the root zone. During the real-time irrigation campaigns in Picassent (Spain) in 2015 and 2016, there were 6 fields irrigated according the data assimilation-optimization approach (CLM-DA), 2 further fields according the FAO (Food and Agriculture Organization) water balance method and also 2 fields traditionally according the farmers preference. The required amount of irrigation water for each citrus field was applied by SCADA (supervisory control and data acquisition system). Compared with the traditionally irrigated fields by farmers, 24% less irrigation water was needed for the CLM-DA scheduled fields averaged over both years from July to September, while the FAO fields were irrigated with 22% less water. Stem water potential data and soil moisture recordings of the CLM-DA scheduled fields did not indicate significant water stress during the irrigation period. The CLM-DA scheduled fields received less irrigation water than traditionally irrigated fields, but the orange production was not significantly suppressed. Overall, our results show that the CLM-DA method is attractive given its water saving potential and automated approach, ease of incorporation of on-line measurements and ensemble based predictions of soil moisture evolution." @default.
• W2883153886 created "2018-08-03" @default.
• W2883153886 creator A5010386449 @default.
• W2883153886 creator A5017818034 @default.
• W2883153886 creator A5025243413 @default.
• W2883153886 creator A5028331853 @default.
• W2883153886 creator A5084337385 @default.
• W2883153886 creator A5089341956 @default.
• W2883153886 date "2018-09-01" @default.
• W2883153886 modified "2023-10-17" @default.
• W2883153886 title "Evaluation of an operational real-time irrigation scheduling scheme for drip irrigated citrus fields in Picassent, Spain" @default.
• W2883153886 cites W1830162628 @default.
• W2883153886 cites W1964948537 @default.
• W2883153886 cites W1969434047 @default.
• W2883153886 cites W1979374964 @default.
• W2883153886 cites W1985304490 @default.
• W2883153886 cites W1986538210 @default.
• W2883153886 cites W1993756707 @default.
• W2883153886 cites W1996679938 @default.
• W2883153886 cites W2000465384 @default.
• W2883153886 cites W2001561924 @default.
• W2883153886 cites W2005855731 @default.
• W2883153886 cites W2009104157 @default.
• W2883153886 cites W2011996101 @default.
• W2883153886 cites W2023998486 @default.
• W2883153886 cites W2030098939 @default.
• W2883153886 cites W2033083898 @default.
• W2883153886 cites W2033135935 @default.
• W2883153886 cites W2037350775 @default.
• W2883153886 cites W2038237036 @default.
• W2883153886 cites W2039580902 @default.
• W2883153886 cites W2044627048 @default.
• W2883153886 cites W2045421681 @default.
• W2883153886 cites W2047431884 @default.
• W2883153886 cites W2055031889 @default.
• W2883153886 cites W2060680089 @default.
• W2883153886 cites W2061757932 @default.
• W2883153886 cites W2073040776 @default.
• W2883153886 cites W2078548472 @default.
• W2883153886 cites W2083345093 @default.
• W2883153886 cites W2087325533 @default.
• W2883153886 cites W2090635835 @default.
• W2883153886 cites W2109392365 @default.
• W2883153886 cites W2112084935 @default.
• W2883153886 cites W2113769572 @default.
• W2883153886 cites W2117934747 @default.
• W2883153886 cites W2132334553 @default.
• W2883153886 cites W2139034598 @default.
• W2883153886 cites W2141647497 @default.
• W2883153886 cites W2150355727 @default.
• W2883153886 cites W2153511024 @default.
• W2883153886 cites W2153901968 @default.
• W2883153886 cites W2160444846 @default.
• W2883153886 cites W2169652774 @default.
• W2883153886 cites W2186413160 @default.
• W2883153886 cites W2303291744 @default.
• W2883153886 cites W2341561553 @default.
• W2883153886 cites W2398180958 @default.
• W2883153886 cites W2469480633 @default.
• W2883153886 cites W2549295290 @default.
• W2883153886 cites W2590877508 @default.
• W2883153886 cites W2790421409 @default.
• W2883153886 doi "https://doi.org/10.1016/j.agwat.2018.06.022" @default.
• W2883153886 hasPublicationYear "2018" @default.
• W2883153886 type Work @default.
• W2883153886 sameAs 2883153886 @default.
• W2883153886 citedByCount "16" @default.
• W2883153886 countsByYear W28831538862019 @default.
• W2883153886 countsByYear W28831538862020 @default.
• W2883153886 countsByYear W28831538862021 @default.
• W2883153886 countsByYear W28831538862022 @default.
• W2883153886 countsByYear W28831538862023 @default.
• W2883153886 crossrefType "journal-article" @default.
• W2883153886 hasAuthorship W2883153886A5010386449 @default.
• W2883153886 hasAuthorship W2883153886A5017818034 @default.
• W2883153886 hasAuthorship W2883153886A5025243413 @default.
• W2883153886 hasAuthorship W2883153886A5028331853 @default.
• W2883153886 hasAuthorship W2883153886A5084337385 @default.
• W2883153886 hasAuthorship W2883153886A5089341956 @default.
• W2883153886 hasBestOaLocation W28831538862 @default.
• W2883153886 hasConcept C112077630 @default.
• W2883153886 hasConcept C127413603 @default.
• W2883153886 hasConcept C136325355 @default.
• W2883153886 hasConcept C152453397 @default.
• W2883153886 hasConcept C153294291 @default.
• W2883153886 hasConcept C159390177 @default.
• W2883153886 hasConcept C159750122 @default.
• W2883153886 hasConcept C187320778 @default.
• W2883153886 hasConcept C195092306 @default.
• W2883153886 hasConcept C205649164 @default.
• W2883153886 hasConcept C24552861 @default.
• W2883153886 hasConcept C24939127 @default.
• W2883153886 hasConcept C2777589951 @default.
• W2883153886 hasConcept C39432304 @default.
• W2883153886 hasConcept C6557445 @default.
• W2883153886 hasConcept C76886044 @default.
• W2883153886 hasConcept C86803240 @default.
• W2883153886 hasConcept C88463610 @default.

• next