Prediction model of rice crude protein content, amylose content and actual yield under high temperature stress based on hyper-spectral remote sensing
| Autor: | Yaohong Zhang, Yunxuan Bao, Renying Li, Shuanghe Shen, Xiaojin Xie |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Yield (engineering)
Chemistry 010401 analytical chemistry food and beverages 04 agricultural and veterinary sciences 040401 food science 01 natural sciences Temperature stress 0104 chemical sciences Protein content chemistry.chemical_compound 0404 agricultural biotechnology Amylose Content (measure theory) Food science Agronomy and Crop Science Food Science |
| Zdroj: | Quality Assurance and Safety of Crops & Foods. 11:517-527 |
| ISSN: | 1757-837X 1757-8361 |
| DOI: | 10.3920/qas2018.1295 |
| Popis: | Crude protein and amylose constitute two main representative components of rice quality. The non-destructive, quick assessment of grain crude protein content (GCPC), grain amylose content (GAC), an... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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