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Robot detects autonomously detect weeds |
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Written by Nikolaus Correll
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Saturday, 03 January 2009 00:49 |
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Researchers at the University of California Davis describe a method for locating and identifying weeds, using cotton as the example crop. The system used a digital video camera for capturing images along the crop seedline while simultaneously capturing data from a global positioning system (GPS) receiver. Image time-stamps were synchronized with GPS time so that GPS coordinates could be overlaid onto selected images. The video system continuously mapped nutsedge weeds and crop plants within the seedline, allowing weed locations to be described with centimeter-scale accuracy when using a real-time kinematic GPS (RTK-GPS). This system may be used to develop maps of weed and crop populations as part of precision crop-management decisions. http://repositories.cdlib.org/anrcs/californiaagriculture/v58/n4/p218/ |
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Our garden in the NY Times |
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Written by Nikolaus Correll
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Thursday, 27 November 2008 01:25 |
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The Distributed Robotic Garden Class has been featured in the NY Times! |
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EasyBloom - How would your plant feel? |
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Written by Nikolaus Correll
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Saturday, 22 November 2008 17:53 |
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EasyBloom is a sensor that you can stuck into the earth close to a plant or where you would like to grow something. Various sensors then measure various parameters (temperature, light, humidity) that can be downloaded via USB after 24h. Recorded sensor data is then compared with the requirements of 5000+ plants on the EasyBloom website, which then tells you whether this spot is suitable for a particular plant and can recommend alternatives. http://www.easybloom.com/learn/overview.html |
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Written by Nikolaus Correll
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Saturday, 22 November 2008 17:50 |
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Pekoppa is a robotic plant being sold in Japan. |
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The Distributed Robotics Garden is Online |
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Written by Nikolaus Correll
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Thursday, 23 October 2008 00:52 |
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Temperature and humidity measurements as well as a live camera feed for the Distributed Robotics Garden are available online. Every plant is equipped with a router that measures humidity every 10s and makes this raw data available via a web server. All routers are connected wirelessly using an ad-hoc network running OLSRD. One router is connected to the internet and can be accessed at http://drg.csail.mit.edu. Whenever a user requests the status page, the following three things happen: - The browser starts downloading and executing two flash movies that will display the temperature and humidity graphs.
- The router checks its routing table for all the IP addresses of everybody on the mesh network.
- The router sends HTTP requests to everybody on the network and fetches the humidity history for the last 24h.
- The router reads the temperature history stored only on the Gateway router.
- The router creates a JSON description of the graphs displayed in the flash plugins.
- The browser will fetch a camera image from the garden's webcam and display it within an iframe.
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Last Updated ( Thursday, 23 October 2008 00:54 )
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