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Showing 1 to 7 of 7 for “"CROPWAT"”.

  1. Water management practice for maize production in Chinchimane, Zambezi region, Namibia

    … is a staple crop in the selected study area. CROPWAT, a software which uses the Penman-Monteith approach to compute reference evapotranspiration, crop water needs and irrigation requirements, was employed in this study to estimate the water needs of maize in the Chinchimane area of the Zambezi …

    namibia Repository record for Water management practice for maize production in Chinchimane, Zambezi region, Namibia (opens in a new tab)

  2. Climate Change and Virtual Water: Implications for UK Food Security

    … Three crop growth simulation models (AquaCrop, CropWat and WaSim) were evaluated for their abilities to estimate the water use of 10 barley genotypes. Subsequently, the effect of projected climate change on UK barley yields in the 2030s, 2040s and 2050s was simulated using the high, medium and …

    dundee Repository record for Climate Change and Virtual Water: Implications for UK Food Security (opens in a new tab)

  3. Irrigation Water Requirements under Climate Change and Drought Events in Saskatchewan,

    … of temperature and precipitation. The CROPWAT agroclimatic model is used to calculate irrigation water requirements (IWR) under given conditions for two crops commonly grown in rotation, canola and dry beans. This process allows for analysis of current and future water demands for …

    regina Repository record for Irrigation Water Requirements under Climate Change and Drought Events in Saskatchewan, (opens in a new tab)

  4. Optimizing non-flooded landscape units to support maize production in the Zambezi region, Namibia

    … Multiple Regression Analysis (model) and the CropWat model (K4 research model) as quantitative methods were used for data analysis. Findings in this study suggests that the observed soil moisture content varied from 9.7 to 33 VWC % loamy sand soils; 7.9 to 26.1 VWC % sandy loamy soils; and 4.9 …

    namibia Repository record for Optimizing non-flooded landscape units to support maize production in the Zambezi region, Namibia (opens in a new tab)

  5. Application of GIS and Remote Sensing techniques to evaluate the impact of land cover and land use changes on the hydrology and water resources of Luvuvhu River Catchment in Limpopo Province, South Africa.

    … 5, 10, 20, 25, 50, 100, and 200 years. The FAO CROPWAT software based on Penman-Montheith equation was used to assess the impact of land cover changes on evapotranspiration regimes. To study the hydrological response of land cover change in the catchment, the Soil Conservation Services-Curve …

    venda Repository record for Application of GIS and Remote Sensing techniques to evaluate the impact of land cover and land use changes on the hydrology and water resources of Luvuvhu River Catchment in Limpopo Province, South Africa. (opens in a new tab)

  6. Irrigation scheduling: a soft adaptor to weather uncertainties and irrigation efficiency improvement initiatives

    … mathematical models (IrriCalc and CropWat 8) under a range of irrigation management strategies, including those identified in the farmers’ survey, and commonly applied crop coefficient values in addition to those estimated in this research. Based on reference and actual …

    lincoln Repository record for Irrigation scheduling: a soft adaptor to weather uncertainties and irrigation efficiency improvement initiatives (opens in a new tab)

  7. Harnessing renewable resources in southern Alberta: a Homer Pro and GIS approach to energy and agriculture

    lethbridge