Canobi AgTech, a pioneer in the development of indoor farming technology, is pleased to announce a new collaboration with HarvestAi, which is creating an advanced forecasting model for indoor farms that uses machine learning and computer vision to anticipate harvest date and yield.
Canobi AgTech announced a new research and development collaboration with HarvestAi. HarvestAi is creating an advanced forecasting model for indoor farms that uses machine learning and computer vision to forecast harvest dates and yield. HarvestAi will utilize a strawberry field to evaluate the effectiveness of their machine-learning algorithms to anticipate plant growth and harvest production while conducting research remotely in the Canobi AgTech internal lab.
Lead researcher Alexandre Sicard declares, “We’re certain will be able to undertake this experiment in the ideal conditions.”
“The best environment for this sort of research and the creation of new goods is our completely temperature-controlled and monitored facility. Canobi AgTech Chief Executive Officer Robin Vincent says that HarvestAi’s scientists may use a Canobi dashboard around-the-clock to track the crops we’re cultivating for them. “And then the HarvestAi crop prediction module will be included in later editions of the Canobi platform.”
The future of automation in controlled environment agriculture lies in artificial intelligence, machine learning, and computer vision. “As global food security is still at risk from climate change, we need to create technology that will make it possible to produce crops more effectively and predictably indoors. With the aid of our artificial intelligence-based harvest prediction system, indoor farmers will be able to use data from their greenhouses in order to operate profitably and sustainably,” commented George Caspary, founder and Chief Executive Officer of HarvestAI.
Image provided by Canobi AgTech
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