Development of a Sensor Based Intelligent Greenhouse Management System


The goal of the project “Development of a Sensor Based Intelligent Greenhouse Management System” is to establish a system for increasing the efficiency of production under glass. This system accesses on huge quantities of data recorded in different greenhouses and determines optimal culture control strategies. Furthermore, the resource consumption is calculated and can be processed further to important parameters (e.g., carbon footprint, resource input per yield unit etc.), which can be used for costumer communication or to compare the resource consumption of different enterprises. This system includes intelligent sensors, which show plant responses, such as photosynthesis, fruit growth and plant transpiration, under different cultivation conditions. In addition, different scenarios of cultivation strategies can be simulated on the computer. As such, the aim is to reduce raw material consumption caused by an optimal crop management.
The goal of the project “Development of a Sensor Based Intelligent Greenhouse Management System” is to establish a system for increasing the efficiency of production under glass. This system accesses on huge quantities of data recorded in different greenhouses and determines optimal culture control strategies. Furthermore, the resource consumption is calculated and can be processed further to important parameters (e.g., carbon footprint, resource input per yield unit etc.), which can be used for costumer communication or to compare the resource consumption of different enterprises. This system includes intelligent sensors, which show plant responses, such as photosynthesis, fruit growth and plant transpiration, under different cultivation conditions. In addition, different scenarios of cultivation strategies can be simulated on the computer. As such, the aim is to reduce raw material consumption caused by an optimal crop management.


Principal investigators
Dannehl, Dennis Dr. (Details) (Section Biological Systems Technology)
Schmidt, Uwe Prof. Dr. (Details) (Section Biological Systems Technology)

Duration of project
Start date: 09/2017
End date: 12/2022

Research Areas
Big Data

Last updated on 2022-21-10 at 10:00