Cereal Yield Forecasting with Satellite Drought-Based Indices, Weather Data and Regional Climate Indices Using Machine Learning in Morocco
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Title
Cereal Yield Forecasting with Satellite Drought-Based Indices, Weather Data and Regional Climate Indices Using Machine Learning in Morocco
Authors
Keywords
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Journal
Remote Sensing
Volume 13, Issue 16, Pages 3101
Publisher
MDPI AG
Online
2021-08-06
DOI
10.3390/rs13163101
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- The relation between climate change in the Mediterranean region and global warming
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- (2016) Michele Meroni et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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- A comparison of within-season yield prediction algorithms based on crop model behaviour analysis
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