Evaluating the accuracy of ARMA and multi‐index methods for predicting winter wheat maturity date
Author:
Affiliation:
1. Northwest A&F University, College of Water Resources & Architectural Engineering Yangling China
2. Northwest A&F University, Key Laboratory of Agricultural Soil & Water Engineering in Arid & Semiarid Areas, Ministry of Education Yangling China
Funder
National Key Laboratory Foundation of China
National Natural Science Foundation of China
Publisher
Wiley
Subject
Nutrition and Dietetics,Agronomy and Crop Science,Food Science,Biotechnology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/jsfa.11588
Reference63 articles.
1. Evaluation of Sentinel-1 & 2 time series for predicting wheat and rapeseed phenological stages
2. Prediction of Winter Wheat Maturity Dates through Assimilating Remotely Sensed Leaf Area Index into Crop Growth Model
3. Remote sensing phenological monitoring framework to characterize corn and soybean physiological growing stages
4. Multi-year monitoring of rice crop phenology through time series analysis of MODIS images
5. Predicting wheat maturity and stay–green parameters by modeling spectral reflectance measurements and their contribution to grain yield under rainfed conditions
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