A hierarchical interannual wheat yield and grain protein prediction model using spectral vegetative indices and meteorological data

Author:

Li Zhenhai,Taylor James,Yang Hao,Casa Raffaele,Jin Xiuliang,Li Zhenhong,Song Xiaoyu,Yang Guijun

Funder

National Natural Science Foundation of China

National Key Technologies of Research and Development Program

European Space Agency (ESA) and Ministry of Science and Technology of China (MOST) Dragon

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science

Reference56 articles.

1. CropPhenology: an R Package for Extracting Crop Phenology from Time Series Remotely Sensed Vegetation Index Imagery;Araya,2018

2. Simulation of grain protein content with APSIM-Nwheat;Asseng;Eur. J. Agron.,2002

3. Empirical regression models using NDVI, rainfall and temperature data for the early prediction of wheat grain yields in Morocco;Balaghi;Int. J. Appl. Earth Obs. Geoinf.,2008

4. Hierarchical Modeling and Analysis for Spatial Data;Banerjee,2014

5. Potentials and limits of vegetation indices for LAI and APAR assessment;Baret;Remote Sens. Environ.,1991

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