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Title: Agricultural Robotics Laboratory | Beta
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Description:Agricultural Robotics Laboratory | Beta Please click here if you are not redirected within a few seconds. Beta Navigation Home Research Teaching Publications People Prospective students Apple orchard
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Agricultural Robotics Laboratory | Beta Please click here if you are not redirected within a few seconds. Beta Navigation Home Research Teaching Publications People Prospective students Apple orchard yield and ripeness mapping The next generation in-field agricultural robots will need to integrate various sensing mechanisms, especially those suited for remote and real time monitoring, for smart and precise decision making. In particular, integration between advanced chemical sensors with physical imaging technologies can benefit agricultural robotic systems in a significant way. Fruit detection using hyperspectral imaging Early fruit detection enables yield and profit prediction for growers. The overall goal was to predict fruit yields by detecting the fruits of all growth stages using various techniques such as spectroscopy, machine vision, and hyperspectral imaging. The following is an example of blueberry fruit detection using hyperspectral imaging, band selection and spectral-spatial analysis techniques. Welcome to the agricultural robotics laboratory Our mission is to apply advanced ideas of robotics, remote sensing, data mining and information technology into precision agriculture. The core techniques we use include multispectral/hyperspectral imaging, spectroscopy, machine learning, geographic information system (GIS), digital mapping, biochemical sensing, etc. The tools available for carrying out our researches are unmanned aerial vehicle, unmanned ground vehicle, video camera, multispectral camera, hyperspectral camera, DGPS, and various electrical, optical and chemical sensors. Detailed research topics are here. Read more about Welcome to the agricultural robotics laboratory Dr. Ce Yang Assistant Professor Bioproducts and Biosystems Engineering University of Minnesota ceyang@umn.edu (612) 626-6419 1390 Eckles Ave Room 207 St Paul, MN, 55108 Copyright ? 2017, Agricultural Robotics Laboratory Manage

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