Herbicide resistance prediction: a mechanistic model vs a random forest model
Herbicide Resistance is a major issue in weed control. Prediction tools can help to detect herbicide resistance development in early stages and enable farmers to take countermeasures. These tools can be simulation models combining population dynamics and genetics or AI methods like random forest. To...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | deu |
| Published: |
Julius Kühn-Institut
2022-02-01
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| Series: | Julius-Kühn-Archiv |
| Subjects: | |
| Online Access: | https://www.openagrar.de/receive/openagrar_mods_00077214 |