| Autor: |
Guijun Yang, Yanbo Huang, Chunjiang Zhao |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Artificial Intelligence in Agriculture, Vol 4, Iss , Pp 150-152 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2589-7217 |
| DOI: |
10.1016/j.aiia.2020.08.001 |
| Popis: |
Big data provide a pathway to lower crop nitrogen inputs from genetic breeding to field production. Moreover, multidisciplinary efforts from plant health sensing, deep machine learning and cloud computing can integrate multi-source data to form information and knowledge. So big data analysis as a prospective optimal method, will make leaps towards addressing future issues of sustainable agriculture. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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