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We are constantly looking for energetic data scientists with a creative edge, capable of drawing outside the lines with concepts concerning AI, ML, Computer Vision, Image Recognition, Cloud Computing and Data Pre-processing.
Currently we have an opening in our Data Science Team for an enthusiastic Data Scientist and Software Engineer. For more information, please visit our team page.
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Recently, GrwNxt has succesfully conducted a set of AI experiments at the research facility of NPEC Wageningen, in close collaboration with Spectrapartners, to predict functional food components (FFC) such as Vitamin C, using hyperspectral imaging (HSI) and AI. The entire experiment has been designed and conducted by GrwNxt. Key in this experiment is the interpretation of mass data and wavelengths done by the data science team (DST) of GrwNxt.
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GrwNxt is working on the Real New Thing in the development of fresh superfoods. With the use of hyperspectral imaging technologies (HSI) in combination with our own AI-models, we are able to non-destructively design functional food components including vitamins, minerals and proteins. Our cutting-edge research is the first of its kind and size.
News
Is the boardroom ready for responsible decision making? Making the sustainable choice often isn’t easy. The perceived and dreaded impact on profits too often unjustly halts sustainable choices even being considered.
The new book Responsible Business Decision Making offers a framework supported by Data and Dialogue to simulate the effects of decisions. It does so incorporating not just effects on Profits, but on People and our Planet as well. The ability to run different scenario’s allows responsible decision makers to include this broader perspective, without losing sight of profitability.
Read the full article and order the book via KoganPage.
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For GrwNxt, hyperspectral imaging (HSI) is a key technology to gain insights in the development of functional food components (FFC) in specialty greens. Translating the hyperspectral bandwidths to FFC allow us to detect sweet spots for vitamins, minerals and proteins to come to expression during the growth process. After growing and monitoring, the samples will be harvested and tested by third-party laboratories for the FFC.
GrwNxt has recently started a large-scale testing using Hyperspectral Imaging (HSI) at the Netherlands Plant Eco-phenotyping Centre (NPEC) at Wageningen, for which GrwNxt has received a research voucher by RVO. The current testing is one of many that are planned this year.
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GrwNxt is a deep technology start-up using AI and machine learning to develop unique digital recipes for growing highly nutritious fresh food. With AI we can create ideal circumstances for plants in remotely controlled GrwNxt growth modules.
AI is a game-changer for breakthroughs in the growing process. It enables ultra-precise digital recipes to unleash healthy food components such as vitamins, minerals and proteins. The application of deep learning technology shortens the development time needed for growth recipes without GMO or any infringement of seeds. AI is a valuable enabling technique to stimulate nature in growing healthy, nutritious fresh food.
GrwNxt is an award winning company. As one of the first, we were the 2020 winner of the XPrize Future of Food Breakthrough Track at the AI for Good Global Summit, sponsored by the United Nations. In the past years we won important research grants for the development of AI-led Dynamic Digital Recipes (DDR™), for Neuro-Robotics and Image Recognition for Ultra-Precision Growing of Food Components.
GrwNxt works on a sustainable way forward with AI to bring the Future of Fresh Food nearby.
Join us in the journey!
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GrwNxt is proud to present out newest research report, highlighting the unique Dynamics at the core of our innovative work: creating Dynamic Digital Recipes (DDR™) with deep learning technologies and the latest insights in plant physiology.
This revolutionary approach is applied to optimize the healthy functional food components in crops that grow inside the GrwNxt Module. Healthy food starts with healthy content: vitamins, proteins, vitamins and taste. Thanks to our deep learning technologies we can incorporate dynamics in the growing process to optimize nutritional values. Unlike greenhouses and vertical farms we can restrict resource usage and do not need transport or storage, contributing to CO2-saving.
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Vertical farming companies have absorbed huge investments in the past few years. However, due to an increase of costs for energy and distribution, these large scale vertical farms are facing serious difficulties in today’s market. A change of strategy, winding down activities including costly layoffs are the result of their own over-optimistic promise.
Although painful for many stakeholders involved, at GrwNxt we are not surprised about the downturn of these vertical farms, or ’stapled greenhouses with warehouse technology’.
Our approach is different, much more sustainable and does not require hundreds of millions of venture capital.
GrwNxt focus is deep technology for superior, tasty plant varieties with high levels of proteins, vitamins and minerals at hyper-local compact GrwNxt modules with low energy use. We merge plant science with AI, Machine Learning and monitoring techniques for tailored DDR™ (dynamic digital recipes) for high quality greens.
GrwNxt is welcoming sustainable investors. We are currently raising Euro 3 million for the implementation of already committed launching customers with incredible brands.
Interested?
Contact us at annemieke.roobeek@grwnxt.com.
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Today prof. dr. Annemieke Roobeek is the keynote speaker for Plantum at their event at Floriade 2022. Plantum is the Dutch trade association for seeds and seedlings. Roobeek is recognized as a thought leader and visionary for innovation, technology and next generation crop production.
