Stevens Institute of Technology
Developed by a team of software and computer engineers, IntelliVeggie combines a smart sensor network with AI harvestability and disease-detection technology to support the small farmer
The state of today's global agriculture system is grim.
Ninety percent of the world's farms are small and family-owned, producing 81% of crops globally. Yet 15% of those farms have closed in the last decade, while more than half of all American farmers have lost money continuously since 2013.
Arable land, meanwhile, is quickly being diminished by large-scale industrial farming practices. With 70% of the world's topsoil already destroyed, studies estimate only 60 more years of farmable land remain.
To help small farmers shore up the global food supply, software engineering majors William Baltus '22, Jon Cucci '22 and Grace Miguel '22 and computer engineering majors Julia Chung '22 and Justis DiBattista '22 have joined forces to develop a high-tech, low-cost solution called IntelliVeggie.
IntelliVeggie is a modular, automated greenhouse that leverages smart-sensor technology and machine learning to improve agricultural yield and efficiency, while helping farmers make better, data-driven decisions.
Equipped with AI-enabled harvestability and disease-detection features, the greenhouse can extend growing seasons, improve crop quality and quantity, and reduce waste, resource consumption and labor costs. . . .
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