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...
Kaydedildi:
| Asıl Yazarlar: | , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Wiley
2026-06-01
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| Seri Bilgileri: | Agricultural & Environmental Letters |
| Online Erişim: | https://doi.org/10.1002/ael2.70055 |
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