Svegro’s adoption of predictive growing has allowed them to optimize their resources and adapt quickly, especially given Sweden’s distinct environment. Located in the countryside, Svegro’s greenhouses occasionally face power cuts, especially in the winter. “That’s where our team’s training and adaptability come in,” Lisa explains. “Our service team is ready to handle disruptions before they become issues. It’s crucial, especially when temperatures drop, and any lapse in heating could impact the entire crop.”
Kristin, however, is most excited about the Swedish self-developed AI-based system called AIGRO. “Together with Priva AIGRO allows us to use Controlled Environment Agriculture and monitor and predict the growth and quality of our crops in real time,” she explains. “
This helps us to predict and track the size of our crops, so we harvest in the best quality at the right time. Considering the changing climate, frequency of heat waves and the relating humidity levels we see, predictive growing is the only way to keep delivering the highest quality in the future. ” And in Sweden, where they’re fortunate to operate on 100% renewable energy, Svegro can combine their predictive growing with a commitment to minimizing environmental impact—a balance Kristin says is core to their mission.