Evaluation of AquaCrop and intelligent models in predicting yield and biomass values of wheat-Reference-Cited by-同舟云学术

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Evaluation of AquaCrop and intelligent models in predicting yield and biomass values of wheat

Published:2023-02-28 Issue:4 Volume:67 Page:621-632
ISSN:0020-7128
Container-title:International Journal of Biometeorology
language:en
Short-container-title:Int J Biometeorol

Author:

Sharafi Milad,Behmanesh Javad,Rezavardinejad Vahid,Samadianfard Saeed

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Atmospheric Science,Ecology

Link

https://link.springer.com/content/pdf/10.1007/s00484-023-02440-4.pdf

Reference42 articles.

1. Abdelaziz E, Saidur R, Mekhilef S (2011) A review on energy saving strategies in industrial sector. Renew Sustain Energy Rev 15(1):150–168

2. Ahmed AM, Sharma E, Jui SJJ, Deo RC, Nguyen-Huy T, Ali M (2022) Kernel ridge regression hybrid method for wheat yield prediction with satellite-derived predictors. Remote Sensing 14(5):1136

3. Araya A, Vara Prasad P, Ciampitti IA, Rice CW, & Gowda PH (2022) Using crop simulation models as tools to quantify effects of crop management practices and climate change scenarios on wheat yields in northern Ethiopia. Enhancing agricultural research and precision management for subsistence farming by integrating system models with experiments 29–47

4. Awad M, Khanna R, Awad M, Khanna R (2015) Support vector regression. Efficient learning machines: Theories, concepts, and applications for engineers and system designers 67–80

5. Aydin I, Karakose M, Akin E (2011) A multi-objective artificial immune algorithm for parameter optimization in support vector machine. Appl Soft Comput 11(1):120–129

Cited by 2 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. Evaluation of AquaCrop’s Ability to Simulate Water Stress Based on 2-Year Case Study of Maize Crop;Agronomy;2024-02-09

2. Crop monitoring and biomass estimation based on downscaled remote sensing data in AquaCrop model (case study: Qazvin Plain, Iran);Environmental Monitoring and Assessment;2023-10-06

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