Novel combination artificial neural network models could not outperform individual models for weather-based cashew yield prediction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Atmospheric Science,Ecology
Link
https://link.springer.com/content/pdf/10.1007/s00484-022-02306-1.pdf
Reference53 articles.
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3. Asseng S, Ewert F, Rosenzweig C et al (2013) Uncertainty in simulating wheat yields under climate change. Nat Clim Chang 3:827–832
4. Bocca FF, Rodrigues LHA (2016) The effect of tuning, feature engineering, and feature selection in data mining applied to rainfed sugarcane yield modelling. Comput Electron Agric 128:67–76
5. Brejda JJ, Moorman TB, Karlen DL, Dao TH (2000) Identification of regional soil quality factors and indicators I. Central and Southern High Plains. Soil Sci Soc Am J 64:2115–2124
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