Student project: Developing a data-driven algorithm to detect plant health and irrigation status

Student project: Developing a data-driven algorithm to detect plant health and irrigation status

Develop a data-driven technique to turn a fine-grained time series on the electrical currents of the hydroponic solution at the return drain in a cucumber greenhouse into valuable information for horticulture growers.

Within our Autonomous Greenhouse program, we conduct research to develop a greenhouse that can operate fully without human intervention. An important parameter herein is the nutrient concentration of the irrigation solution that is used to feed the crop. This concentration is estimated from the electroconductivity (EC) of the irrigation and drain water. Imec has developed a compact and low-power EC sensor, which we have deployed in a greenhouse compartment to continuously monitor the performance of individual plants. This gives a large time-series dataset, from which we want to extract actionable information that helps to control the greenhouse.

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*All job descriptions are in English due to the international character of OnePlanet Research Center.