ロード中...
Dissection of hyperspectral reflectance to estimate nitrogen and chlorophyll contents in tea leaves based on machine learning algorithms
Nondestructive techniques for estimating nitrogen (N) status are essential tools for optimizing N fertilization input and reducing the environmental impact of agricultural N management, especially in green tea cultivation, which is notably problematic. Previously, hyperspectral indices for chlorophy...
保存先:
| 出版年: | Sci Rep |
|---|---|
| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group UK
2020
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7566634/ https://ncbi.nlm.nih.gov/pubmed/33060629 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-73745-2 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|