Remote Configurable Image Acquisition Lifting Robot for Smart Agriculture

Abstract

In recent years, intelligent agriculture based on information has become a hot topic in research. While information collection has been widely used in agriculture, crop image collection, in particular, is the basis and premise of smart agriculture. However, the traditional image acquisition systems mainly depend on a fixed camera or a mobile robot, and it is known that these methods have shortcomings, such as poor flexibility and consignation. This paper presents a remote configurable crop image acquisition architecture based on cloud computing and wireless network for increasing the flexibility and adaptation of the mobile robot. Firstly, the data acquisition framework based on cloud computing for the mobile robot was constructed. Then, the robot control system and hardware platform were designed. Finally, experiments were constructed, and the results demonstrated that the feasibility of this method is verified.