Using regression trees to predict citrus load balancing accuracy and costs
In order to define management and marketing strategies, farmers need adequate knowledge about future yield with the greatest possible accuracy and anticipation. In citrus orchards, greater variability and non-normality of yield distributions complicate the early estimation of fruit production. This...
Main Authors: | G. R. R. Bóbeda, E. F. Combarro, S. Mazza, L. I. Giménez, I. Díaz |
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Format: | Article |
Language: | English |
Published: |
Springer
2018-11-01
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Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/25905183/view |
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