Quadratic-Plateau Geographically Weighted Regression Model for Estimating Site-Specific Economically Optimal Input Rates

Author:

Zhang Chishan,Li Xiaofei,Mieno Taro,Diao Chunyuan,Bullock David S.

Publisher

Elsevier BV

Reference31 articles.

1. Why the Economic and Statistical Performances are Sometimes Inconsistent The observed discrepancy between the statistical and economic performances of the QP-GWR model over the Q-GWR model may have seemed paradoxical. Notably, while the QP-GWR achieved considerable statistical improvements over Q-GWR (with estimated EONR bias reduced by 25.4 kg/ha and RMSE reduced by 9.7 kg/ha) in low price ratio scenarios, its economic advantage was marginal (only $0.60/ha);C Tresch;Agronomy for Sustainable Development,2023

2. Comparison of Modified Mitscherlich and Response Plateau Models for Calibrating Soil Test Based Nitrogen Recommendations for Rice on Typic Ustropept;K Alivelu;Communications in Soil Science and Plant Analysis,2003

3. A Spatial Econometric Approach to the Economics of Site-Specific Nitrogen Management in Corn Production;L Anselin;American Journal of Agricultural Economics,2004

4. Modeling yield response to crop management using convolutional neural networks;A Barbosa;Computers and Electronics in Agriculture,2020

5. Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity;C Brunsdon;Geographical Analysis,1996

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