The Dutch AI solutions provider has been recognised by AgTech Breakthrough for its role in pushing the agriculture industry forward through technology
Source.ag has been named Start-up of the Year 2024 at the US-based AgTech Breakthrough Awards, which recognises innovators in technologies that are driving the food and agriculture sector forward.
As a provider of AI solutions for vegetable growers, Source.ag has committed to “pushing the boundaries” and delivering “cutting-edge solutions that meet the changing needs of growers worldwide”, according to co-founder and CEO Rien Kamman.
“As a pioneer of innovative technology that enables growers worldwide to democratise access to fresh vegetables, we are honoured to be recognised in the AgTech Breakthrough Awards,” he said, praising the company’s “world-class team” of plant and data scientists for their commitment to helping growers throughout the world.
“We are very grateful for the valuable feedback and support from our customers,” he continued, “which ensures that we can help growers achieve the best results with our innovative solutions.”
The company’s solutions are used by over 300 commercial greenhouses in 16 countries, with customers including Agro Care, Thanet Earth, The Green House Growers, Grupa Mularski and Le Jardin de Rabelais.
“These AI solutions can simulate plant behaviour to determine and implement the best growing strategies, taking into account millions of data points on climate, biology and raw materials,” the company said. “By enabling growers to manage their facilities more efficiently with breakthrough technology, Source.ag makes greenhouse horticulture accessible, profitable and globally scalable.
“Source.ag uses AI to understand the growth and development of plants and support growers in their success. The company takes a hybrid approach that combines botany and data science to analyse the underlying biology and processes behind plant behaviour. In contrast to so-called ‘black box’ models, Source.ag’s approach offers transparency and robustness, and you need less data to start effectively.”
