Zobrazeno 1 - 10
of 140
pro vyhledávání: '"CERES-Wheat model"'
Autor:
Ruiyun Zeng, Xiaomao Lin, Stephen M. Welch, Shanshan Yang, Na Huang, Gretchen F. Sassenrath, Fengmei Yao
Publikováno v:
Agricultural Water Management, Vol 287, Iss , Pp 108431- (2023)
Increasing scarcity of irrigation water is threatening global winter wheat production and food security. As a major world food crop, irrigation has been pivotal in enhancing the sustainable production of wheat. To ensure food and water security, it i
Externí odkaz:
https://doaj.org/article/d376c9b90217486f9376c1def7880330
Publikováno v:
Geocarto International, Vol 37, Iss 27, Pp 16307-16322 (2022)
AbstractThe leaf area index (LAI) is an important agroecological physiological parameter affecting vegetation growth and is an essential indicator for estimating crop growth. To apply the hybrid machine learning model to the remote sensing inversion
Externí odkaz:
https://doaj.org/article/7c1d8c34fdb142f68ffbca79bf2e3198
Autor:
S. M. Kirthiga, N. R. Patel
Publikováno v:
AgriEngineering, Vol 4, Iss 4, Pp 1054-1075 (2022)
In-season crop production forecasts at the regional or sub-regional scale are essential to aid in food security through early warning of harvest shortfall/surplus, tailoring crop management decisions and addressing climatic shock. Considering the eff
Externí odkaz:
https://doaj.org/article/ffa07bd6597f44d4869a842adf41097d
Publikováno v:
Journal of Integrative Agriculture, Vol 20, Iss 7, Pp 1958-1968 (2021)
Assimilating Sentinel-2 images with the CERES-Wheat model can improve the precision of winter wheat yield estimates at a regional scale. To verify this method, we applied the ensemble Kalman filter (EnKF) to assimilate the leaf area index (LAI) deriv
Externí odkaz:
https://doaj.org/article/069ecc3e5e8b4c469f925a5a86db8777
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 6253-6269 (2021)
Accurate and timely crop yield estimation is critical for food security and sustainable development. The rapid development of unmanned aerial vehicles (UAVs) offers a new approach to acquire high spatio-temporal resolution imagery of farmland at a lo
Externí odkaz:
https://doaj.org/article/dbb5aed9ba494f09a586660ed4a974f1
Publikováno v:
Journal of Integrative Agriculture, Vol 18, Iss 6, Pp 1379-1391 (2019)
Climate change has been documented as a major threat to current agricultural strategies. Progress in understanding the impact of climate change on crop yield is essential for agricultural climate adaptation, especially for the Huang-Huai-Hai Plain (3
Externí odkaz:
https://doaj.org/article/f013a6566c8644f796d272a4404b55ce
Publikováno v:
Agronomy, Vol 12, Iss 7, p 1552 (2022)
Drought has great negative impacts on crop growth and production. In order to select appropriate drought indices to quantify drought influences on crops to minimize the risk of drought-related crops as much as possible, climate and spring wheat yield
Externí odkaz:
https://doaj.org/article/7fa2b195cddb44189fd9faba6a2adffb
Akademický článek
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Autor:
Li-li ZHOU, Shu-hua LIAO, Zhi-min WANG, Pu WANG, Ying-hua ZHANG, Hai-jun YAN, Zhen GAO, Si SHEN, Xiao-gui LIANG, Jia-hui WANG, Shun-li ZHOU
Publikováno v:
Journal of Integrative Agriculture, Vol 17, Iss 5, Pp 1181-1193 (2018)
To improve efficiency in the use of water resources in water-limited environments such as the North China Plain (NCP), where winter wheat is a major and groundwater-consuming crop, the application of water-saving irrigation strategies must be conside
Externí odkaz:
https://doaj.org/article/4dfbc3b47858485e9b53a2943ed207f7
Akademický článek
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