James A. Taylor

Field crops research (Print) · 2020

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from James A. Taylor's perspective

Ordered by how strongly the researchers James A. Taylor trusts endorse each paper. Same corpus, a different order for every researcher.

1. Advantages of Hierarchical Linear Modeling.
2. Hierarchical Modeling and Analysis for Spatial Data
3. An introduction to hierarchical linear modeling
4. Predicting grain yield in rice using multi-temporal vegetation indices from UAV-based multispectral and digital imagery
5. A review of data assimilation of remote sensing and crop models
6. Hierarchical Linear Modeling: Guide and Applications
7. Using hierarchical linear modeling to investigate the moderating influence of leadership climate
8. Hierarchical Linear Models
9. HLM 6: Hierarchical Linear and Nonlinear Modeling
10. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages

Their papers

• A hierarchical interannual wheat yield and grain protein prediction model using spectral vegetative indices and meteorological data (2020) — 59 citations