Using Cognitive Technologies as Cloud Services for Product Quality Control. A Case Study for Greenhouse Vegetables

The last years showed a trend of integrating smart technologies in agriculture, starting from irrigation control based on weather forecast, and ending with automated greenhouse control for the entire plant lifecycle using robots. The paper presents a solution for quality control and monitoring vegetables in greenhouses. During the lifecycle of a plant in automated greenhouses, the control and monitoring of the environment (soil humidity, temperature, ventilation, etc.) is not sufficient; the plants’ condition is very important and in most cases it can give more valuable feedback than the environment. This paper presents a solution for monitoring the health state of tomato plants in greenhouses, which allows detecting diseases in order to prevent their spread and also the removing or isolating affected tomatoes during the harvest. The paper gives information about the technologies which have been used and the system architecture; experimental results are reported and potential extensions of the proposed solution are described.