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

2018 ◽  
Vol 62 (10) ◽  
pp. 1809-1822 ◽  
Author(s):  
Bappa Das ◽  
Bhakti Nair ◽  
Viswanatha K. Reddy ◽  
Paramesh Venkatesh
Keyword(s):  
Neural Network ◽  
West Coast ◽  
Regression Models ◽  
Rice Yield ◽  
West Coast Of India ◽  
Weather Parameters ◽  
Linear Neural Network

scholarly journals Wheat yield prediction based on weather parameters using multiple linear, neural network and penalised regression models

2022 ◽  
Vol 24 (1) ◽  
Author(s):  
K. S. ARAVIND ◽  
ANANTA VASHISTH ◽  
P. KRISHANAN ◽  
B.DAS
Keyword(s):  
Neural Network ◽  
Wheat Yield ◽  
Principal Component ◽  
Cost Effective ◽  
Elastic Net ◽  
Weather Data ◽  
Yield Data ◽  
Growing Period ◽  
Weather Parameters ◽  
Linear Neural Network

Wheat yield production is largely attributed by weather parameters. Model developed by multiple linear, neural network and penalised regression techniques using weather data have the potential to provide reliable, timely and cost-effective prediction of wheat yield. Wheat yield data and weather parameter during crop growing period (46th to 15th SMW) for more than 30 years were collected for study area and model was developed using stepwise multiple linear regression (SMLR), principal component analysis (PCA) in combination with SMLR, artificial neural network (ANN) alone and in combination with PCA, least absolute shrinkage and selection operator (LASSO) and elastic net (ENET) techniques.  Analysis was carried out by fixing 70% of the data for calibration and remaining dataset for validation. On examining these models, LASSO and elastic net are performing excellent having nRMSE value less than 10 % for four out of five location and good for one location, because of prevention in over fitting and reducing regression coefficient by penalization.

scholarly journals Morphological and molecular evidence for first records and range extension of the Japanese seahorse, Hippocampus mohnikei (Bleeker 1853) in a bay-estuarine system of Goa, central west coast of India

PLoS ONE ◽  
2020 ◽  
Vol 15 (3) ◽  
pp. e0220420
Author(s):  
Sushant V. Sanaye ◽  
Rakhee Khandeparker ◽  
Anantha Sreepada Rayadurga ◽  
Mamatha S. Shivaramu ◽  
Harshada Kankonkar ◽  
...  
Keyword(s):  
West Coast ◽  
Range Extension ◽  
Molecular Evidence ◽  
Estuarine System ◽  
West Coast Of India

Microplastics in seafood as an emerging threat to marine environment: A case study in Goa, West coast of India

Chemosphere ◽  
2020 ◽  
pp. 129359
Author(s):  
Mahua Saha ◽  
Akshata Naik ◽  
Aniket Desai ◽  
Mandar Nanajkar ◽  
Chayanika Rathore ◽  
...  
Keyword(s):  
Marine Environment ◽  
West Coast ◽  
West Coast Of India

Sedimentological responses to coastal dynamics along the Thane District, North Maharashtra, West Coast of India

2021 ◽  
Vol 7 (3) ◽  
Author(s):  
Sridhar D. Iyer ◽  
A. R. Gujar ◽  
V. Sanil Kumar ◽  
D. K. Naik ◽  
S. S. Gaonkar ◽  
...  
Keyword(s):  
West Coast ◽  
Coastal Dynamics ◽  
West Coast Of India

Species composition and spatio-temporal variation of bycatch from mid-water trawlers operating in the Arabian Sea along north-west coast of India

2021 ◽  
Vol 43 ◽  
pp. 101692
Author(s):  
P. Abdul Azeez ◽  
Prathibha Rohit ◽  
Latha Shenoy ◽  
Ashok Kumar Jaiswar ◽  
Mini Raman ◽  
...  
Keyword(s):  
Species Composition ◽  
Temporal Variation ◽  
West Coast ◽  
Arabian Sea ◽  
North West ◽  
West Coast Of India ◽  
Spatio Temporal

Nature, characterization and resource potential of littoral placer deposits of Goa, central west coast of India

2021 ◽  
Author(s):  
A. R. Gujar ◽  
S. D. Iyer ◽  
P. Udayaganesan ◽  
N. V. Ambre ◽  
P. G. Mislankar ◽  
...  
Keyword(s):  
West Coast ◽  
Resource Potential ◽  
West Coast Of India ◽  
Placer Deposits
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