OAPRS: An online agriculture prescription recommendation system

Abstract

Agriculture prescription can be targeted to solve problems in agricultural production for farmers, but in reality, agricultural technology personnel (ATP) or agricultural technology experts (ATE) are also short handed. So it is difficult to ensure that all farmers’ issue is resolved and the existing agricultural technology websites just tidy up some common prescriptions, mostly without involving the personalized service. So this paper designed an online agriculture prescription recommendation system which realize three functions including the automatic question answering, recommendation for ATP or ATE and recommendation for similar users based on the construction of user interest model, the problem model and prescription model. Through this system the questions put forward by farmers can be solved timely and agricultural prescriptions can be better promoted and shared, which manifests that the system has great practical value.