A Study on Push Technology of Intelligent Agriculture Service Information Based on CART Algorithm

In this paper, the information push service will be studied to realize the customization of messages according to precise space-time and crop message, and the meteorological message, monitoring data and decision-making model of the designated area in a specific time will be combined to decide whether to apply fertilizer and the amount of fertilizer. The push technology will be combined according to the decision tree based on CART algorithm for sample set to verify and make decision on information and the push server based on XMPP protocol will be built to recommend decision information for users automatically and intelligently. The farm operation database is established to push the farm operation information to different regions on a time scale, which directly guides the actual production of users and ensures the timeliness of information and high efficiency of management.