Tomato picking robot based on deep learning

Abstract

In this paper, a comprehensive tomato picking robot system based on deep learning is designed according to the shortcomings and shortcomings of the existing picking robots. The robot can check the maturity of the tomatoes in the field of vision at one time and continuously pick the tomatoes. In terms of mobility, it can realize a wide range of autonomous movement, and can upload the growth situation of tomatoes through the cloud in real time. In addition, the system can also be developed again and applied to other agricultural products, which has certain practical value.