A study on hyperspectral soil total nitrogen inversion using a hybrid deep learning model CBiResNet-BiLSTM
Abstract Rapid, accurate and non-destructive acquisition of soil total nitrogen (TN) content in the black soil zone is significant for achieving precise fertilization. In this study, the soil types of corn and soybean fields in Jilin Agricultural University, China, were selected as the study area. A...
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| Huvudupphov: | , , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
SpringerOpen
2024-10-01
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| Serie: | Chemical and Biological Technologies in Agriculture |
| Ämnen: | |
| Länkar: | https://doi.org/10.1186/s40538-024-00681-y |
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