Automated Plant Health Monitoring Using Collaborative Robot

Abstract

In the modern agricultural landscape, collaborative robots have emerged as key technology for enhancing precision, efficiency and sustainability in farming practices. This research introduces a Smart Cobot Greenhouse Assistant developed to automate plant health monitoring and management with controlled environment. It identifies plant's condition and take suitable actions like watering dry plants, raising alerts for diseased ones, and leaving healthy plants unharmed. A two-dimensional workspace is modelled where the cobot is initialized at the origin$(\mathbf{0, 0})$and plants are located at respective positions$(\mathbf{x, y})$. Dynamic states such as healthy, dry and diseased are assigned and simulated through python code using a well-defined synthetic dataset. Cobot's movements and actions are animated using Matplotlib visualization to produce an efficient and sustainable greenhouse management and the information are recorded into the blockchain distributed ledger and alerts are sent to the owner for further decision. Compared with the traditional system, the proposed smart cobot achieved operational responsiveness, dynamic visual feedback, and trustworthy data handling with full transparency.