Evaluation of multiple linear, neural network and penalised regression models for prediction of rice yield based on weather parameters for west coast of India-Reference-Cited by-同舟云学术

Evaluation of multiple linear, neural network and penalised regression models for prediction of rice yield based on weather parameters for west coast of India

Published:2018-07-24 Issue:10 Volume:62 Page:1809-1822
ISSN:0020-7128
Container-title:International Journal of Biometeorology
language:en
Short-container-title:Int J Biometeorol

Author:

Das Bappa^ORCID,Nair Bhakti,Reddy Viswanatha K.,Venkatesh Paramesh

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Atmospheric Science,Ecology

Link

http://link.springer.com/article/10.1007/s00484-018-1583-6/fulltext.html

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3. Azfar M, Sisodia BVS, Rai VN, Devi M (2015) Pre-harvest forecast models for rapeseed & mustard yield using principal component. Mausam 4:761–766

4. B S Dhekale PKS and TPU (2014) Weather based pre-harvest forecasting of rice at Kolhapur (Maharashtra). Trends Biosci 7:39–41

5. Balabin RM, Lomakina EI, Safieva RZ (2011) Neural network (ANN) approach to biodiesel analysis: analysis of biodiesel density, kinematic viscosity, methanol and water contents using near infrared (NIR) spectroscopy. Fuel 90:2007–2015. https://doi.org/10.1016/j.fuel.2010.11.038

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