Adam Greenberg founded iUNU (pronounced “you knew”) in 2013 to revolutionize the greenhouse industry by using machine vision technology. In less than eight years, he is well on the way. The Seattle-based […]
The NGA Show, the leading trade show and conference for independent grocers, and Indoor Ag-Con, the premier agriculture conference and trade show for the indoor and vertical farming industry, will co-locate in […]
Committee of Industry Leaders From Indoor Agriculture, Grocery, Specialty Food, Commercial Real Estate, Hemp, Other Sectors To Provide Guidance, Insights To Help Shape 2021 Exposition & Conference LAS VEGAS (December 15, 2020) […]
Jiffy has doubled its range of growbags. Now it’s easier than ever for plant propagators and growers to meet their crops’ needs and boost yields. New Jiffy Essence Growbags: the perfect budget […]
Netled has entered into a significant long-term cooperation agreement with Pirkanmaan Osuuskauppa, a regional operator of the largest commercial chain in Finland, the S Group. Prisma Pirkkala, which opened at the beginning […]
Sourced From Greenhouse Grower Magazine Greenhouse equipment should be simple for the end user. This was the topic of a blog post written earlier this year by Chris Higgins, General Manager and Co-owner of HortAmericas, […]
Autogrow and Agritecture Consulting have released the 2nd Annual CEA Census Report highlighting positive signs of growth despite the global pandemic. Data captured over an 8-week period show 95% of growers have […]
Indoor Ag-Conversations Speaker Jim Pantaleo is an indoor vertical farming expert based in Southern California. He is also Content Chair for Indoor Ag Con. His work included Sananbio U.S. /Oasis Biotech, engagement […]
iUNU CEO Adam Greenberg , heads the Seattle based startup that provides AI and computer vision technology to help greenhouse growers optimize their operations. iUNU & Mr. Greenberg have been recognized with a […]
Indoor Ag-Conversations panelist Nick Genty is CEO of AgEye Technologies where he leads a team in pioneering the use of computer vision and deep learning algorithms to optimize the yield, morphology and phytonutrient […]