Machine learning‐based prediction of cereal rye cover crop biomass across diverse agroecosystems
Abstract Accurate operational predictions of cereal rye (Secale cereale L.) biomass are critical for quantifying the agroecosystem services provided by cover crops and for guiding growers’ management decisions for subsequent cash crops. In this study, we developed machine learning‐based biomass pred...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Wiley
2026-06-01
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| coleção: | Agricultural & Environmental Letters |
| Acesso em linha: | https://doi.org/10.1002/ael2.70055 |
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