Dynamic within-season irrigation scheduling for maize production in Northwest China: A Method Based on Weather Data Fusion and yield prediction by DSSAT-Reference-Cited by-同舟云学术

Dynamic within-season irrigation scheduling for maize production in Northwest China: A Method Based on Weather Data Fusion and yield prediction by DSSAT

Published:2020-05 Issue: Volume:285-286 Page:107928
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Chen Shang^ORCID,Jiang Tengcong,Ma Haijiao,He Chuan,Xu Fang,Malone Robert W,Feng Hao^ORCID,Yu Qiang^ORCID,Siddique Kadambot H.M.,Dong Qin'ge,He Jianqiang

Publisher

Elsevier BV

Subject

Atmospheric Science,Agronomy and Crop Science,Global and Planetary Change,Forestry

Reference58 articles.

1. Crop Evapotranspiration – Guidelines for Computing Crop Water Requirements FAO Irrigation and Drainage Paper 56;Allen,1998

2. Solar and terrestrial radiation. Report to the international commission for solar research on actinometric investigations of solar and atmospheric radiation;Angstrom;Q. J. Roy. Meteor. Soc.,1924

3. Evaluation of two evapotranspiration approaches simulated with the CSM-CERES-Maize model under different irrigation strategies and the impact on maize growth, development and soil moisture content for semi-arid conditions;Anothai;Agric. For. Meteorol.,2013

4. Assessment of maize growth and yield using crop models under present and future climate in southwestern Ethiopia;Araya;Agric. For. Meteorol.,2015

5. Weather analogue: a tool for real-time prediction of daily weather data realizations based on a modified k-nearest neighbor approach;Bannayan;Environ. Model. Software,2008

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Modelling the impacts of climate change on the sustainability of rainfed and irrigated maize in Pakistan;Agricultural Water Management;2024-05

2. Developing remote sensing- and crop model-based methods to optimize nitrogen management in rice fields;Computers and Electronics in Agriculture;2024-05

3. Based on historical weather data to predict summer field-scale maize yield: Assimilation of remote sensing data to WOFOST model by ensemble Kalman filter algorithm;Computers and Electronics in Agriculture;2024-04

4. Early-season estimation of winter wheat yield: A hybrid machine learning-enabled approach;Technological Forecasting and Social Change;2024-04

5. A Method for Predicting Production Costs Based on Data Fusion from Multiple Sources for Industry 4.0: Trends and Applications of Machine Learning Methods;Computational Intelligence and Neuroscience;2023-10-10