Design of Intelligent Tomato Picking Robot Based on User Demand in Solar Greenhouse

With the rapid development of electronic information technology, tomato picking intelligence and mechanization are getting higher and higher attention. In this paper, the author analyzes the tomato growing environment, picking characteristics, and related products, and then proposes a design method combining KANO-FAST-FBS. Firstly, the author obtains user requirements through field research and user research. Secondly, the author classifies the importance of user requirements through KANO model. Thirdly, the author uses FAST to sort out the product functions and uses FBS to establish the mapping from user requirements to product structure. Through the above research, the design strategy of picking robot is put forward.