Remote Precision Growing (RPG)
Horticulture faces challenges in the areas of labor, energy use and climate impact. Autonomous cultivation allows productive and sustainable production, with less dependence on scarce expertise.
The Remote Precision Growing project focuses on developing, testing and validating an autonomous cultivation system in greenhouse horticulture, in which AI models take real-time measurements based on combined sensor data and crop measurements within predetermined ‘pixels’. The project probably practical research in light tomato cultivation with digital technology such as climate and crop sensors and AI algorithms. Strategies are compared in various work packages and identical in greenhouses of Delphy Improvement Centre, with continuous data analysis and KPI development.
In this project, Delphy Improvement Centre is responsible for the execution of practical tests, measurements, crop guidance and feedback of practical insights to technology partners. The added value is to gain insight into the practical feasibility and added value of AI-controlled cultivation. For growers, this offers a future perspective on scalable, data-driven production.
The project is interesting for greenhouse horticulture entrepreneurs, technology developers, breeders, education and policy makers.
The project round: 2nd quarter 2024 – 1st quarter 2027
This project receives financial support from the Top Sector Horticulture & Starting Materials.
Within the Top Sector, businesses, knowledge institutions and the government work together on innovations in the field of sustainable production of healthy and safe food and the development of a healthy, green living environment.
