Agricultural cyber physical system collaboration for greenhouse stress management

•We present MDR (monitoring, detecting, responding)-CPS (Cyber Physical System) oriented framework and workflow for agricultural greenhouse stresses management. Our most special work is humans involved.•Collaborative control theory is applied for MDR-CPS. We pay much attention to collaboration between sensors, a robot and humans.•Experiments are designed to compare our scheme (H + R + S) with the scheme of a robot mounted with sensors (R + S). The results show that MDR-CPS performance is better than the compared scheme, in terms of detection cooperated with humans, conflicts tolerance, and emergency response. This article presents a CPS (Cyber Physical System) oriented framework and workflow for agricultural greenhouse stresses management, called MDR (Monitoring, detecting and responding)-CPS. MDR-CPS has been designed to focus on monitoring, detecting and responding to various types of stress. CCT (Collaborative Control Theory) is applied in MDR-CPS to deploy CRP (Collaborative Requirements Planning), address CEs (Conflicts and Errors) and enable a collaborative architecture for better CPS interactions. Analytic studies and simulation experiments are conducted to compare our scheme with an alternative scheme for agricultural greenhouse stress management. The results show that MDR-CPS performance is better than the compared scheme, in terms of detection cooperated with human, CEs tolerance, and emergency response. Focus in this design and development is on the collaboration among sensors, robot, and human to improve the MDR-CPS’ performance.