Precise and reliable harvest forecast
We see a growing demand for more precise predictions and the number of green thumbed growers rapidly declines. Luckily the use of Artificial Intelligence (AI) in horticulture could help to compensate for this loss. The harvest forecast available via Hoogendoorn Analytics is a first step in the digitalization of the production of tomatoes.
The data is translating by Hoogendoorn Analytics into precise and reliable predictions contribute to yielding better results for its clients. Growers and merchants have struggled with this for years: “How high will production for the following weeks be? What does my labour scheme need to look like?”. The results of the manual predictions often deviate a lot from reality. Hoogendoorn has made it possible with the use of Machine Learning to create a yield prediction with an accuracy of 83% to 93%. This is a giant step on the way to digitalization!
Although we already have a yield prediction available for years, the latest version using new techniques such as AI and Machine Learning, was launched in 2018. This prediction was received very positively by its customers. Since its release multiple large tomato growers in the Netherlands have successfully utilized the harvest forecast module.
The method to create a precise and reliable yield prediction is based on several past production years from a renowned international grower and packer of various snack vegetables. Through the use of Machine Learning to analyse the right correlation from the past, the production of the following four weeks can be predicted. Every year more data can be used by the model, which makes the model even more precise than it already was.
Via Hoogendoorn Analytics cultivation data can be collected. Imagine how beautiful it will be if this data could be used to make a well working yield prediction model? By combining botanical knowledge with Machine Learning it becomes possible to quickly change gears in order to provide very precise predictions for growers all over the world.
Supply and demand
There exists an increasing need for a better balance between supply and demand in the horticultural process-chain. Lack of balance between supply and demand causes a disruption in the market. Sometimes the production is too high, other times too low. This results in a not optimal pricing of the product. This can be coordinated much better with a reliable prognosis, which ultimately leads to better pricing. After all, there will be far fewer mistakes in the market. Besides that, you can optimize your labour efficiency and planning, because you know when to harvest.
Would you like to start with your own harvest forecast? Contact us to get started with Data Driven Growing.