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Journal Abstract Search

125 related items for PubMed ID: 37880506

  • 1. Optimizing evapotranspiration and crop irrigation requirements of tropical forages cropping systems in Southern Brazil.
    Gonçalves IZ, Mendonça FC, Sanches AC, Marin FR.
    Int J Biometeorol; 2024 Jan; 68(1):57-67. PubMed ID: 37880506
    [Abstract] [Full Text] [Related]

  • 2. Evapotranspiration adjustment for irrigated maize-soybean rotation systems in Nebraska, USA.
    Gonçalves IZ, Neale CMU, Suyker A, Marin FR.
    Int J Biometeorol; 2023 Nov; 67(11):1869-1879. PubMed ID: 37674062
    [Abstract] [Full Text] [Related]

  • 3. Mapping within‑field variability of soybean evapotranspiration and crop coefficient using the Earth Engine Evaporation Flux (EEFlux) application.
    Venancio LP, Eugenio FC, Filgueiras R, França da Cunha F, Argolo Dos Santos R, Ribeiro WR, Mantovani EC.
    PLoS One; 2020 Nov; 15(7):e0235620. PubMed ID: 32645043
    [Abstract] [Full Text] [Related]

  • 4. Development of Smart Weighing Lysimeter for Measuring Evapotranspiration and Developing Crop Coefficient for Greenhouse Chrysanthemum.
    Sagar A, Hasan M, Singh DK, Al-Ansari N, Chakraborty D, Singh MC, Iquebal MA, Kumar A, Malkani P, Vishwakarma DK, Elbeltagi A.
    Sensors (Basel); 2022 Aug 19; 22(16):. PubMed ID: 36015996
    [Abstract] [Full Text] [Related]

  • 5. Maize Crop Coefficient Estimated from UAV-Measured Multispectral Vegetation Indices.
    Zhang Y, Han W, Niu X, Li G.
    Sensors (Basel); 2019 Nov 29; 19(23):. PubMed ID: 31795309
    [Abstract] [Full Text] [Related]

  • 6. [Estimation of evapotranspiration and crop coefficient in Dajiuhu peatland of Shennongjia based on FAO56 Penman-Monteith].
    Hu C, Ge JW, Xu XN, Tan YS, Yuan CH.
    Ying Yong Sheng Tai Xue Bao; 2020 May 29; 31(5):1699-1706. PubMed ID: 32530249
    [Abstract] [Full Text] [Related]

  • 7. Evapotranspiration and crop coefficients of Italian zucchini cultivated with recycled paper as mulch.
    Oliveira RM, Cunha FFD, Silva GHD, Andrade LM, Morais CV, Ferreira PMO, Raimundi FPG, Freitas ARJ, Souza CM, Oliveira RA.
    PLoS One; 2020 May 29; 15(5):e0232554. PubMed ID: 32374758
    [Abstract] [Full Text] [Related]

  • 8. Simulating Crop Evapotranspiration Response under Different Planting Scenarios by Modified SWAT Model in an Irrigation District, Northwest China.
    Liu X, Wang S, Xue H, Singh VP.
    PLoS One; 2015 May 29; 10(10):e0139839. PubMed ID: 26439928
    [Abstract] [Full Text] [Related]

  • 9. [Modeling evapotranspiration of greenhouse tomato under different water conditions based on the dual crop coefficient method].
    Gong XW, Liu H, Sun JS, Ma XJ, Wang WN, Cui YS.
    Ying Yong Sheng Tai Xue Bao; 2017 Apr 18; 28(4):1255-1264. PubMed ID: 29741323
    [Abstract] [Full Text] [Related]

  • 10. Estimation of maize evapotraspiration under drought stress - A case study of Huaibei Plain, China.
    Yuan H, Cui Y, Ning S, Jiang S, Yuan X, Tang G.
    PLoS One; 2019 Apr 18; 14(11):e0223756. PubMed ID: 31689311
    [Abstract] [Full Text] [Related]

  • 11. Daily reference evapotranspiration prediction for irrigation scheduling decisions based on the hybrid PSO-LSTM model.
    Jia W, Zhang Y, Wei Z, Zheng Z, Xie P.
    PLoS One; 2023 Apr 18; 18(4):e0281478. PubMed ID: 37071623
    [Abstract] [Full Text] [Related]

  • 12. Irrigation systems in smart cities coping with water scarcity: The case of Valdebebas, Madrid (Spain).
    Canales-Ide F, Zubelzu S, Rodríguez-Sinobas L.
    J Environ Manage; 2019 Oct 01; 247():187-195. PubMed ID: 31252223
    [Abstract] [Full Text] [Related]

  • 13. Methods to estimate irrigated reference crop evapotranspiration - a review.
    Kumar R, Jat MK, Shankar V.
    Water Sci Technol; 2012 Oct 01; 66(3):525-35. PubMed ID: 22744682
    [Abstract] [Full Text] [Related]

  • 14. Precision Estimation of Crop Coefficient for Maize Cultivation Using High-Resolution Satellite Imagery to Enhance Evapotranspiration Assessment in Agriculture.
    Nagy A, Kiss NÉ, Buday-Bódi E, Magyar T, Cavazza F, Gentile SL, Abdullah H, Tamás J, Fehér ZZ.
    Plants (Basel); 2024 Apr 27; 13(9):. PubMed ID: 38732427
    [Abstract] [Full Text] [Related]

  • 15. Assessment of pan coefficient models for the estimation of the reference evapotranspiration in a Mediterranean environment in Turkey.
    Koç DL.
    PeerJ; 2022 Apr 27; 10():e13554. PubMed ID: 35698619
    [Abstract] [Full Text] [Related]

  • 16. Simple agrometeorological models for estimating Guineagrass yield in Southeast Brazil.
    Pezzopane JR, da Cruz PG, Santos PM, Bosi C, de Araujo LC.
    Int J Biometeorol; 2014 Sep 27; 58(7):1479-87. PubMed ID: 24221392
    [Abstract] [Full Text] [Related]

  • 17. Determination of crop coefficient for chufa crop (Cyperus esculentus L. var. sativus Boeck.) for sustainable irrigation scheduling.
    Pascual-Seva N, Pascual B.
    Sci Total Environ; 2021 May 10; 768():144975. PubMed ID: 33736307
    [Abstract] [Full Text] [Related]

  • 18. Reference evapotranspiration estimate with missing climatic data and multiple linear regression models.
    Koç DL, Erkan Can M.
    PeerJ; 2023 May 10; 11():e15252. PubMed ID: 37131990
    [Abstract] [Full Text] [Related]

  • 19. Integrating machine learning and empirical evapotranspiration modeling with DSSAT: Implications for agricultural water management.
    Hailegnaw NS, Bayabil HK, Berihun ML, Teshome FT, Shelia V, Getachew F.
    Sci Total Environ; 2024 Feb 20; 912():169403. PubMed ID: 38110092
    [Abstract] [Full Text] [Related]

  • 20. Reference evapotranspiration of Brazil modeled with machine learning techniques and remote sensing.
    Dias SHB, Filgueiras R, Fernandes Filho EI, Arcanjo GS, Silva GHD, Mantovani EC, Cunha FFD.
    PLoS One; 2021 Feb 20; 16(2):e0245834. PubMed ID: 33561147
    [Abstract] [Full Text] [Related]

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