Identification of patterns for increasing production with decision trees in sugarcane mill data
ABSTRACT: Sugarcane mills in Brazil collect a vast amount of data relating to production on an annual basis. The analysis of this type of database is complex, especially when factors relating to varieties, climate, detailed management techniques, and edaphic conditions are taken into account. The ai...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Universidade de São Paulo
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| Series: | Scientia Agricola |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162019001400281&lng=en&tlng=en |