With AI we are able to succesfully predict healthy functional food components (FFC) in crops.
We used advanced hyperspectral imaging technologies in combination with large-scale empirical testing. The resulting large dataset enables us to jump to an incredible increase and optimization of DDR™.
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.
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.
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.
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!
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.
As a member of the Google Food Lab, GrwNxt Founder and CEO prof. dr. Annemieke Roobeek was interviewed to highlight what GrwNxt is doing to help move the needle towards a sustainable future of fresh food and a more healthy way of living.
Read the interview.
At GrwNxt we do research with societal impact. Deep learning technologies combined with plant science lead to a DDR™, dynamic digital recipe, for plants with higher amounts of protein, vitamins and useful minerals. Healthy diets start with focus on nutritious food components. Forget about bio-mass only: GrwNxt goes for radical innovation for a food revolution.
We were invited to present Strategies for Societal Impact of Research at the Impact Event of the Topsector Horticulture and Starting Materials at the World Horti Center (WHC) in Naaldwijk, 28 October 2021.
Deep Learning & Plant Science for DDR™ in Indoor Fresh Food Production
Recently GrwNxt published The Real New Thing: Deep Learning & Plant Science for DDR™ in Indoor Fresh Food Production. In this research we tested the application of deep learning technologies (AI, ML, IR) in combination with plant science to develop Dynamic Digital Recipes (DDR™) for a series of crops. The aim of this research is to find novel ways to optimize the amount of food components (vitamins, proteins and minerals) in fresh greens to stimulate a healthy diet for millions of people.