基于联邦学习的分布式农业组织

doi:10.11959/j.issn.2096-6652.202231

Abstract

Abstract:

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.

Key words: federated intelligence, agricultural big data, decision support, block-chain technology, agricultural management system

CLC Number:

Mengzhen KANG, Xiujuan WANG, Dong LI, et al. Distributed agricultural organization based on federated learning[J]. Chinese Journal of Intelligent Science and Technology, 2022, 4(2): 288-297.

Figures/Tables 4

References 38

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