Design of an Intelligent Robotic Vehicle for Agricultural Cyber Physical Systems

Abstract

For agricultural cyber physical systems (CPS), we propose an intelligent robotic vehicle that uses reconfigurable hardware to implement neural network inference and cryptographic functions for enhancing system performance and adaptivity. We also present a crop growth model and a detection model of pests and diseases to support its decision-making mechanism.