Intelligent transformation of financial services of agricultural cooperatives based on edge computing and deep learning

Abstract

An important component of rural nance includes agricultural cooperatives, which have become the main economic support for rural poverty alleviation due to their active participation in government targeted poverty alleviation activities, highlighting their socio-economic status. The only nancial institution in rural nance -agricultural cooperatives, which have promoted positive effects on local economic development. As a new computing method, edge computing invades the cloud into the network through services, which ensures response time and e cient reliability, and reduces system delay by applying indepth learning. It plays a good role in alleviating the pressure of bandwidth consumption in cloud networks, as well as protecting user privacy and data security. Through the research on edge computing and deep learning technology, this paper makes the rural capital allocation market produce new nancial services, and demonstrates its signi cant advantages. By promoting the transformation of agricultural cooperatives, it is possible to more fully ensure that rural people enjoy the fruits of reform and development. At the same time, there is a problem of uneven income distribution in the social economy. While reducing social con icts, it is also necessary to reduce factors of instability in society, in order to encourage people to work and live happily and safely. Through practical research on the intelligent nancial service methods of agricultural cooperatives, the optimal allocation of rural economic resources has been determined, providing practical knowledge support for the economic and industrial development of rural areas, and providing reasonable support for the research on rural revitalization.