Machine learning applied to the prediction of root architecture of soybean cultivars under two water availability conditions
The objective of this study was to evaluate the performance of four machine learning models, as well as multitask learning, to predict soybean root variables from simpler variables, under two water availability conditions. In order to do so, 100 soybean cultivars were conducted in a greenhouse under...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidade Estadual de Londrina
2022-02-01
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| Series: | Semina: Ciências Agrárias |
| Subjects: | |
| Online Access: | https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/43290 |