QuantoTech Solutions has built a cloud-based, enclosed plant monitoring and control system. The system is being used for a research project that evaluates cost effective sensor solutions that can accurately predict key performance indicators of plant health. This project was made possible with funding from the Natural Sciences and Engineering Research Council of Canada.
“Providing a cost effective means to quantitatively measure plant health will be beneficial to both large-scale commercial growers as a way to quantitatively measure plant growth and health, as well as, smaller facilities which may not have access to on-site expert knowledge. The software provided in the cloud based system allows for simple visualization of data providing plant growth trends and key performance indicators, and eventually periodic recommendations and automated changes in the plant environment,” said Alycia van der Gracht, Manager of Operations and Supply Chain.
The first experimental crop consisted of microgreens. The imaging and analysis system was able to detect and predict harvest performance within the first 24 hrs of germination. This capability would allow growers to re-plant rather than suffer through a failed harvest.