Maturity Prediction in Soybean Breeding Using Aerial Images and the Random Forest Machine Learning Algorithm
Several studies have used aerial images to predict physiological maturity (R8 stage) in soybeans (<i>Glycine max</i> (L.) Merr.). However, information for making predictions in the current growing season using models fitted in previous years is still necessary. Using the Random Forest ma...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/16/23/4343 |
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