Towards an autonomous Greenhouse
Greenhouse horticulture plays an important role in the year-round production of fresh, healthy and high quality products. The production has to be economically viable and sustainable in the use of natural resources, such as water, nutrients and energy. The area for protected cultivation is increasing around the world. The limiting factor is becoming the availability of sufficient highly qualified staff with knowledge of cultivation of a high-quality product, who can oversee all aspects of an efficient production system with minimal use of resources. More automation is therefore required.
In AGROS, we work on the realization of the ‘autonomous greenhouse’ in which cultivation is controlled remotely via intelligent algorithms, based on measurements of climate and crop properties collected by an array of intelligent sensors.
The project is divided into three workpackages:
- Understanding crop physiology in response to changing environmental conditions
- Translation of data from sensors to crop parameters and crop responses
- Autonomous greenhouse control through (climate-plant) sensor-driven-intelligent algorithms
For more information see “Workpackages”
The recently completed AGROS validation trial is taking researchers another step closer to the realisation of a fully autonomous greenhouse. In the trial an Artificial Intelligence algorithm, based on Reinforcement Learning, controlled the climate in a semi-commercial greenhouse resulting in a productive cucumber crop. Another milestone was marked by the successful deployment of a Digital [ … ]
The public-private partnership project AGROS aims to realize an “autonomous greenhouse” in which cultivation is remotely controlled by artificial intelligence (AI). Intelligent algorithms and advanced sensors monitor key crop characteristics and support the decisions made to achieve profitable cultivation. AGROS is led by Wageningen University & Research. A fully autonomous greenhouse system “The dot on [ … ]
Invitation to the network and knowledge event AGROS: “Data and intelligence in horticulture, arable farming and dairy”
Date: Wednesday April 5, 2023 Time: 13:00 – 17:00 Venue: WUR Greenhouse Horticulture, Violierenweg 1, Bleiswijk, The Netherlands Complexity of systems in greenhouse horticulture, arable farming and dairy is increasing, and society demands sustainable production systems. Current farming systems can only meet this demand to a limited extent. The way forward involves [ … ]
Wageningen University & Research (WUR) business unit Greenhouse Horticulture recently planted three cucumber crops as part of the AGROS project. The cultivation of these crops is controlled in different ways: in one greenhouse operational decisions are taken by a group of crop and irrigation experts, while the other two greenhouses are controlled remotely by a [ … ]
PAR (Photosynthetically Active Radiation, 400 – 700 nm) is the driving force for photosynthesis and thereby also for crop growth and production. Light interception by the crop is an important trait. In general, growers aim to maintain such a leaf area that the crop has (nearly) full light interception. In order to estimate this, they [ … ]
The AGROS program
The AGROS programme is a collaboration between Wageningen University & Research (WUR) and 29 private partners, with funding provided by two of the Top Sectors programmes: Agri & Food and Horticulture & Starting Materials. AGROS stands for ‘Evolution to sustainable AGRicultural Operation Systems’. The main goal is to develop tools that can support production that is based on natural, biological and ecological processes and thereby steer production towards sustainable use of inputs like energy, water, plant protection, products and labour. The knowledge obtained from the research and experiments, and the professional guidance provided will benefit the participating arable and dairy farmers, greenhouse growers and technology companies. Over the next four years, the business community and the government will invest more than €6.5 million in this programme.