More precise data and better crop steering with GroSens

What are the substrate or slab-specific 'models'?

Bouwens: "In the 90's we started using sensors in growing media for measurement, which allowed us to gather insights into the effect of nutrients and water in the substrate. In 2013 the technology advanced, enabling us to start using data models. That is when we introduced GroSens. However, accurate measurement was just the first step. We saw that growers also felt the need for customised data analysis and advice. That's why we have taken the technology to the next level and improved the models even further to tailor them to growers' needs. GroSens is a complete system with high quality sensors, data and software, all tailor-made per substrate model. This allows the grower to see beyond the raw data and receive actionable advice via the e-Gro platform."

Why substrate optimized models?

Bouwens continues: "In 'real life' we know it's often very difficult for a grower to measure and translate raw data into comprehensible outcomes and actions, because they collect this data from a partly saturated growing medium (substrate, soil, etc.). On top of that, each growing medium is different, which makes it challenging to accurately translate the data. As Grodan is known in the industry for offering a wide range of growing media for various crops, we went the extra mile and created slab-specific models. This differentiates within the market. We offer more precise and reliable data thanks to our substrate specific models. These are tied to the specific sizes and set up of the different substrate products. Resulting in better customized data driven insights per growing medium type, allowing growers improve decision making around rootzone management."

He adds: "When growers combine our specific GroSens models with the advice they receive from us, they will get the best out of it. The system gives growers more control and access to everything they need to know for their rootzone and irrigation management, wherever they are, 24 hours a day, 7 days a week. We're happy to confirm that since we started working with our slab-specific models, we have received feedback that the data generated by the sensors is very reliable and trusted by growers to steer their crops. That's what we do it for!"

What is the value of slab optimized/specific data models?

Bouwens: "It's really important that the user can trust the data provided by the sensor and system. Things can go wrong in the greenhouse and at that moment an alarm can be triggered. When this happens, growers have to make quick decisions. Hence, the reliability of data derived from the GroSens system is really crucial in that moment."

Paul continues: "Additionally, when growers trust the data's accuracy, they will feel confident to experiment with efficiencies in water and nutrients. With reliable and precise data they are able to optimize their crop, rootzone management and crop growth."

How did you develop these models?

Bouwens smiles: "We put a lot of energy and years of lab research and trial tests into the development of these models. We worked with experts and specialists to develop and fine-tune these tailor-made, specific data models that are optimized for Grodan growing media. This resulted in increased accuracy of our GroSens system."

What do we have to look forward to in the future?

Bouwens reflects: "As the horticultural sector continues to advance in technology, we like to stay ahead of this trend and continue to develop new and better technological solutions. We are committed to continuous innovation and improvement, while maintaining a reliable balance between WC/EC and plant performance. Additionally, built-in Artificial Intelligence continues to improve and give even better advice, ultimately saving the grower time and money. We look forward to playing an active role in the advancement of these technologies, while continuing to collaborate with growers in trials and receiving their feedback. In that way, we can support them even better in making decisions with more precision."

Source and All Photo Courtesy of Grodan

Source: Grodan