More information about the project
To combat costly, complex hardware implementations, AdaViv is developing a custom sensory array in a small, lightweight package that can easily move around the greenhouse to capture visible and invisible plant features. Using standard sensors all packaged into mobile housing, AdaViv expects their sensor to be able to meet the price point required while still capturing the level of data needed to feed their predictive analytics models. Using the data gathered from the greenhouse sensory array along with environmental data—such as humidity levels and temperature readings—AdaViv’s predictive analytics models will be able to monitor plant growth, predict yields, and detect diseases. Through these insights, AdaViv plans to provide growers with precisely tailored recommendations, fundamentally changing how indoor crops are grown, inspected and maintained. Using their AI for Earth grant, AdaViv plans to enhance the capabilities of their predictive models and enable the scale needed for general availability rollout.