Many growers make crop prognoses for the sale of their products. With this information the sales process can be optimized. No shortage or surplus of product, ensures a better return on sales. It is also possible to optimize internal processes , such as work scheduling, at the nursery with this information.
Peter Hendriks, Business Unit Manager at LetsGrow.com: "I am regularly approached by growers with the question whether we can build an accurate and universal crop prognosis system. We have for some years now a plant physiological crop prognosis model for tomato which is doing reasonably well. However, it takes time to do the counting for the harvest forecast accurately, so that the model remains accurate. In addition, this way is error-prone, since the model only looks at the present. We also should use data from the past."
Artificial Intelligence vs. plant physiology
Is it a lot of work for a grower to do this forecast? Hendriks: "We train the system for the grower. The system is trained per grower with its own data. The system recognizes patterns from the past and in combination with crop registrations that are already being done, the harvest forecast for the coming 4 weeks is predicted. If the historical data of a grower is already in our system, we can immediately start working on it. If not, then we have to find a way how we can retrieve the correct data. In fact, it costs the grower very little work. And it delivers a lot!"
Are you interested in this new and accurate crop forecast? Contact us or visit us at the Horticontact at stand 401. The analysis is now available for tomato growers. Other crops follow quickly.
+31 - 657583579
Ton van Dijk
+31 - 653735670