Impact of climate and weather extremes on soybean and wheat yield using machine learning approach
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00477-024-02759-3.pdf
Reference65 articles.
1. Amit Y, Geman D (1997) Shape quantization and recognition with randomized trees. Neural Comput 10(7):1545–1588
2. Barlow KM, Christy BP, O’Leary GJ, Riffkin PA, Nuttall JG (2015) Simulating the impact of extreme heat and frost events on wheat crop production: a review. Field Crops Res 171:109–119
3. Beillouin D, Schauberger B, Bastos A, Ciais P, Makowski D (2020) Impact of extreme weather conditions on European crop production in 2018. Philos Trans R Soc B: Biol Sci 375:20190510
4. Birthal PS, Khan T, Negi DS, Agarwal S (2014) Impact of climate change on yields of major food crops in India: implications for food security. Agricultural Econ Res Rev 27(2):145–155
5. Biswas DK, Xu H, Li YG, Liu MZ, Chen YH, Sun JZ, Jiang GM (2008) Assessing the genetic relatedness of higher ozone sensitivity of modern wheat to its wild and cultivated progenitors/relatives. J Exp Bot 59(4):951–963
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