Abstract: With the expansion of agricultural production, farmland information management becomes more and more difficult. Traditional farmland information management is mainly based on manual collection of information and subjective experience management. The efficiency of information collection is low, incomplete, and real-time is not high. At the same time, farmland information management mostly relies on subjective experience and the management effect is poor.In order to solve many problems in farmland information management, this paper deeply researches information fusion technology, establishes information fusion function model, studies the process of information fusion processing, and applies it to farmland information management, and completes an intelligent farmland management system based on information fusion. The application research of the intelligent management system, the optimization of the overall plan of the intelligent management system, the in-depth study of the information fusion algorithm, the completion of the structure design of the information fusion algorithm and the design of the calculation process, and the optimization of the operation page of the farmland intelligent management system, and finally the use of the information fusion algorithm function test. The test results show that the farmland intelligent management system based on information fusion can accurately predict the temperature change trend and provide better operation decisions for guiding agricultural production. At the same time, the farmland intelligent management system can realize the intelligent comprehensive management of large-scale farmland information. To a certain extent, it can reduce the waste of water, fertilizer, electricity and other aspects, greatly save labor and production costs, and has a greater promotion value.