Results 11 to 20 of about 681 (181)
Land, 2022 Soil maps can usefully serve in data scarce regions, for example for yield (gap) assessments using a crop simulation model. The soil property estimates’ contribution to inaccuracy and uncertainty can be functionally evaluated by comparing model results ...
Mulenga Kalumba +4 more
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Modelling of Water Use Efficiency Using CropWat and AquaCrop : Case of Potato in Semi-Arid Region [PDF]
Al-Qadisiyah Journal For Agriculture Sciences, 2023 In Algeria, vegetable crops are dependent on irrigation. In this context, the present study is oriented towards the efficient management of agricultural water that contributes to the improvement of crop production.
Mawhoub Amirouche +2 more
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Journal of Water and Climate Change, 2022 Wheat is the major agricultural crop in Iran. Using reliable tools to estimate wheat grain yield may help the regional planners and stakeholders to employ proper cultivation approaches to increase grain yield in different regions.
Seyed Hamid Ahmadi +2 more
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Application of two measures of adaptation to climate change for assessment on the yield of wheat, corn and sunflower by the aquacrop model [PDF]
Zemljište i biljka, 2021 Frequent occurrence of droughts over the last two decades, as well as increases in the air temperature increase have led to the rise farmers' concerns that field crop production would not be possible without irrigation.
Stričević Ružica +3 more
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Sugar Beet Agronomic Performance Evolution in NW Spain in Future Scenarios of Climate Change
Agronomy, 2020 Changes in environmental conditions resulting from Climate Change are expected to have a major impact on crops. In order to foresee adaptation measures and to minimize yield decline, it is necessary to estimate the effect of those changes on the ...
Luis Fernando Sánchez-Sastre +6 more
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Comparison of the machine learning and AquaCrop models for quinoa crops
Research in Agricultural Engineering, 2023 One of the main causes of having low crop efficiency in Peru is the poor management of water resources; which is why the main objective of this article is to estimate the amount of irrigation water required in quinoa crops through a comparison between the machine learning and AquaCrop models.
Chumbe Llimpe, Rossy Jackeline +2 more
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Sains Tanah: Journal of Soil Science and Agroclimatology, 2022 Climate change has imposed major uncertainties on food and water security in Bangladesh. Understanding the recent changes in potential yield and water productivity of major crops is essential to formulate effective adaptation strategies under climate ...
Tapos Kumar Acharjee +2 more
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پهنهبندی باران موثر در استان خوزستان تحت کشت گندم دیم پاییزه [PDF]
مدیریت آب و آبیاری, 2020 بهمنظور انجام پژوهش حاضر از دادههای هواشناسی 12 ایستگاه سینوپتیک استان خوزستان با طول دوره آماری 20 ساله (2018-1999) استفاده گردید. ابتدا با استفاده از نرم افزار CROPWAT، باران موثر از سه روش USDA، FAO و فرمول تجربی توسعه یافته برآورد گردید. با استفاده
مسعود پورغلام آمیجی +3 more
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The probabilistic behavior of AquaCrop parameters: a Monte-Carlo study
Stochastic Environmental Research and Risk Assessment, 2022 Abstract Crop growth models are multi-outputs and can be valuable tools for the quantification of crop growth and production. However, these models usually require several input data, which are costly, time-consuming, and sometimes impossible to measure. These input parameters are mostly estimated by calibration and inverse solving.
Hadi Ramezani Etedali +3 more
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Calibration and assessment of AquaCrop Model for Managing the quantity and time of applying wheat deficit irrigation [PDF]
علوم و مهندسی آبیاری, 2018 When water resources are limited, the type of plant, growth stage and soil type should be considered for optimal water consumption. Also, it is necessary to calculate the reliable values of soil moisture content, moisture stress and yield function in ...
Fahimeh Shirshahi +3 more
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