Estimating near future regional corn yields by integrating multi-source observations into a crop growth model

By Jing Wang, Xin Li, Ling Lu, F. Fang. 2013

83 citations recorded by the source corpus.

Subfields: Ecology, Ecology, Evolution, Behavior and Systematics, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/25fe3b7df10a1188e76779d525dcd98c8bcb595a

How researchers see this paper

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

In Ecology

1. Yanbo Huang
2. Lukas Roth
3. Bernhard Streit

In Global and Planetary Change

1. Jianxi Huang
2. Shunlin Liang
3. Hongyuan Ma

Citations in the corpus

• Combined Spectral and Spatial Modeling of Corn Yield Based on Aerial Images and Crop Surface Models Acquired with an Unmanned Aircraft System (2014, background): “For a further increase in accuracy, some authors also combine actual remote sensing data and crop growth models [15,16].”
• Assimilating a synthetic Kalman filter leaf area index series into the WOFOST model to improve regional winter wheat yield estimation (2016, methodology): “ata assimilation has been used for LAI estimates and crop yield redictions with considerable success (Curnel et al., 2011; Xu et al., 011; de Wit et al., 2012; Ma et al., 2013a,b; Wang et al., 2013; Li t al., 2014; Huang et al., 2015a, 2015b).”