So far, manual predictions have been used to answer these questions, but the results often deviate from reality.
With the exponential growth of sensor-generated data and the transition to a more statistical approach in horticulture, data-driven growing is on the rise. Intelligent data-analysis is key to creating more precise predictions and more cost-efficient business models. An important step in the digitalization of the production of tomatoes in harvest forecasting.
Hoogendoorn Growth Management now offers a yield prediction model with an accuracy between 80% and 94%. By using the harvest forecasting tool, growers can plan more systematically, allowing them to optimize a cultivation strategy in order to harvest at the desired moment. You know when your product will be ready and can adjust your sales accordingly, resulting in optimized pricing.
Here’s a closer look at how the system works.