Enhancing precision agriculture through cyber-physical systems: a functional monitoring platform as decision support tool

The continuous advances in the area of cyber-physical systems (CPSs) have led to the improvement of various fields, including agriculture. In this sector, high-performance platforms based on sensors and actuators are becoming key components to allow real-time monitoring of the physiological health status of plants. To this end, the aim of this research is to develop a functional and high-efficient CPS to monitor plants’ status using different key indicators such as normalized difference vegetation index (NDVI), volatile organic compounds (VOCs) and nitrogenous oxide (No x ) emissions, combined with environmental parameters such as temperature, air relative humidity, and soil moisture. In particular, in this paper, the potential of the platform is demonstrated by monitoring the environmental conditions and estimating the stress condition of two tomato plants in a greenhouse.