| Autor: |
Mengzhen KANG, Xiujuan WANG, Dong LI, Xuwei WANG, Haoyu WANG, Menghan FAN, Yulin XU, Fei-Yue WANG |
| Jazyk: |
čínština |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
智能科学与技术学报, Vol 4, Pp 288-297 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2096-6652 |
| DOI: |
10.11959/j.issn.2096-6652.202231 |
| Popis: |
At present, small-scale agriculture is dominating in China.How to develop appropriate smart agriculture for agricultural management with small farmers and small plots is quite challenging.A distributed agricultural AI framework combining federal learning and blockchain technology was proposed, which can achieve the purpose of the training model and establish the incentive mechanism for participants without data sharing.This framework helped make full use of agricultural multi-source heterogeneous data, reducing user data requirements, developing decision-making models according to local conditions, and promoting the connection of production and marketing of small-scale agriculture. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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