Climatic impacts across agricultural crop yield distributions: An application of quantile regression on rice crops in Andhra Pradesh, India

By P. Barnwal, Koji Kotani. 2013

116 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Plant Science, Soil Science

View Paper: https://www.semanticscholar.org/paper/8d5fa1ec19f83974ffe2c5a311afcd901ac61030

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Soil Science

1. Raphaël Huser
2. A. C. Davison
3. Emeric Thibaud

Citations in the corpus

• Modeling soil organic carbon with Quantile Regression: Dissecting predictors' effects on carbon stocks (2017, methodology): “This paper shows that Quantile Regression has valid and interesting agronomic applications, as observed in few recent examples [Barnwal and Kotani, 2013, Yu et al., 2016].”