Ways tomato growers can predict future harvests

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.

Source and photo courtesy of Greenhouse Grower

Source: Greenhouse Grower