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

An important component of rural finance 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 financial institution in rural finance-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 efficient reliability, and reduces system delay by applying in-depth 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 financial services and demonstrates its significant 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 conflicts, 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 financial 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.