Sanjiv Singh1, Tara Baugher2 , Marcel Bergerman1 , Ben Grocholsky1, Jay Harper2 , Gwen-Alyn Hoheisel3 , Larry Hull2 , Vincent Jones3 , George Kantor1, Harvey Koselka4, Karen Lewis3 , William Messner1 , Henry Ngugi2, James Owen Jr.5 , Johnny Park6 , Clark Seavert5 1Carnegie Mellon University, 2Penn State University, 3Washington State University, 4Vision Robotics, 5Oregon State University, 6Purdue University Autonomous Prime Mover Applications Core Capabilities Insect Monitoring Specialty crops constitute a $45 billion/year industry characterized by the need for intensive cultivation. Specialty crops are facing a crisis of increasing labor costs and shortages of available labor. In addition, an increasing consumer demand for a safe, affordable, traceable, and high quality food supply, and the need to minimize the environmental footprint represent key challenges for specialty crop sustainability in the United States. Recently, our team started a four-year effort to develop a comprehensive automation strategy for tree fruit production. Our approach is based on a triad that spans the entire production spectrum, from the nursery tree stage to harvest: • Information, mobility, and manipulation technologies, including reconfigurable mobility, accurate positioning, information management and decision making, and augmented fruit harvesting. • Plant science technologies, including detection of plant stress and disease, monitoring of insect populations and infestation, automated caliper measurement, and autonomous crop load scouting. • Socio-economic analyses, outreach/extension, and commercialization. This four-year project is aimed at developing a comprehensive automation strategy for specialty crops, with an initial focus on apples and nursery trees. While our preliminary Year 1 results show that it is possible to develop technologies to increase farm efficiency, reduce labor costs, and increase fruit quality, our (and others’) greatest challenges will be to prove these technologies’ economic feasibility and overcome any barriers to adoption. Weed Detection and Management Plant Stress and Disease Detection Crop Load Scouting Caliper Measurement Augmented Fruit Harvesting
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