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Q31112213-69BBE2CC-F791-4B4A-AB49-7F3B2E078DCE
Q31112213-69BBE2CC-F791-4B4A-AB49-7F3B2E078DCE
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http://www.wikidata.org/entity/statement/Q31112213-69BBE2CC-F791-4B4A-AB49-7F3B2E078DCE
Ecophysiological Modeling of Grapevine Water Stress in Burgundy Terroirs by a Machine-Learning Approach.
P2860
Q31112213-69BBE2CC-F791-4B4A-AB49-7F3B2E078DCE
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http://www.wikidata.org/entity/statement/Q31112213-69BBE2CC-F791-4B4A-AB49-7F3B2E078DCE
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10dadb7d50cf9636b616ece064402a7ef426e299
P2860
Investigating the use of gradient boosting machine, random forest and their ensemble to predict skin flavonoid content from berry physical–mechanical characteristics in wine grapes