Machine learning and advanced lighting help speed up growth in a natural way
London startup (IoT Stars) is using machine learning and smart LED lighting to help anyone produce high quality microgreens. Crop IQ is a kitchen countertop device that uses smart LED lighting to help people fine-tune flavours. It works with an app. Imagine you want hot basil. You select this from the app and it automatically sets the LED light sequence on the device, which affects the entire growth cycle of the plant.
Plants react to light through a protein in their leaves called photoreceptors. The photoreceptors influence the production of amino acids and other chemical compounds in plants – affecting nutritional value and taste. For microgreens, it impacts not just how fast plants grow, but affects flavor, vitamins, minerals and antioxidant levels. Lighting spectrum can produce hotter basil or more mild radishes.
“The device helps people without any knowledge of agriculture or planting to be able to choose from an app on their smartphone a basil that gives them a fiery guacamole,” says Michael Setton, a French engineer. He originally made the device for himself, and then more for friends.
The device controls the light spectrum to affect plant taste and phytonutrients in the same way temperature controls what are called “Maillard reactions” (a chemical reaction when browning food) during cooking. Optimising the light at each stage of a plant’s growth is like being able to adjust your oven temperature every couple of minutes to have the most delicious cake, says Setton.
This week, the company is launching a crowdfunding campaign via its website and on the Envestors platform. Crop IQ will be available for pre-order starting in May, and for delivery in early 2020, according to the company.