Results 31 to 40 of about 2,367 (204)
AquaCrop-OSPy: Bridging the Gap between Research and Practice in Crop-Water Modelling
, 2021 Crop-growth models are powerful tools for supporting optimal planning and management of agricultural water use globally. However, use of crop models for this purpose often requires advanced programming expertise and computational resources, limiting the ...
Foster, Timothy, Kelly, Thomas
core +4 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
openaire +3 more sources
Statistical criteria for calibration of AquaCrop.
, 2022 Statistical criteria for calibration of AquaCrop.
Niazali Ebrahimipak (13020810) +4 more
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
openaire +1 more source