SIMULATION OF WINTER WHEAT WATER BALANCE WITH CROPWAT AND ISAREG MODELS
This paper presents the results of water balance simulations on winter wheat production in the area around Bijelo Polje. Winter wheat production over three years and on two soil types has been simulated with the CROPWAT and ISAREG models. The simulated results have proved variations between the two models and the measured yield. Crop evapotranspiration
Knežević, Mirko +4 more
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Assessment of surface water resource and allocation optimization for diverse demands in Ethiopia's upper Bilate Watershed. [PDF]
Genjebo MG, Kemal A, Nannawo AS.
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CROPWAT – Assessment of Irrigation Strategies in the Region of Skopje
CROPWAT is a decision support system developed by the Land andWater Development Division of FAO. Its main functions are to calculatereference evapotranspiration, crop water requirements and crop irrigationrequirements.
Fidanka Trajkova
doaj
Evaluation of irrigation suitability potential of brewery effluent post treated in a pilot horizontal subsurface flow constructed wetland system: implications for sustainable urban agriculture. [PDF]
Alayu E, Leta S.
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Evaluation of water footprint in sugar industries and bioethanol distilleries in two different water basins toward water sustainability. [PDF]
Fito J +3 more
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CROPWAT – Assessment of irrigation strategies in the region of Skopje
CROPWAT is a decision support system developed by the Land and Water Development Division of FAO. Its main functions are to calculate reference evapotranspiration, crop water requirements and crop irrigation requirements. The program allows choosing the cultivation site, culture, the cropping time, soil type and establishment of irrigation strategy ...
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Version 3 of the Global Aridity Index and Potential Evapotranspiration Database. [PDF]
Zomer RJ, Xu J, Trabucco A.
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High-resolution water footprints of major crops in China from cities to grids. [PDF]
Zhao J, Wu L, Wang X, Yu Y, Huang K.
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Assessment of Wind and Solar Hybrid Energy for Agricultural Applications in Sudan. [PDF]
Khan ZA +4 more
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An interpretable machine learning approach based on SHAP, Sobol and LIME values for precise estimation of daily soybean crop coefficients. [PDF]
Elbeltagi A +6 more
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