首页|Research Data from University of Lincoln Update Understanding of Robotics (Visio n Based Crop Row Navigation Under Varying Field Conditions In Arable Fields)
Research Data from University of Lincoln Update Understanding of Robotics (Visio n Based Crop Row Navigation Under Varying Field Conditions In Arable Fields)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Researchers detail new data in Robotics. Accordin g to news reporting originating from Lincoln, United Kingdom, by NewsRx correspo ndents, research stated, "Accurate crop row detection is often challenged by the varying field conditions present in real-world arable fields. Traditional colou r based segmentation is unable to cater for all such variations." Our news editors obtained a quote from the research from the University of Linco ln, "The lack of comprehensive datasets in agricultural environments limits the researchers from developing robust segmentation models to detect crop rows. We p resent a dataset for crop row detection with 11 field variations from sugar beet and maize crops. We also present a novel crop row detection algorithm for visua l servoing in crop row fields. The proposed method uses deep learning based crop row skeleton segmentation method followed by a crop row scanning algorithm that identifies the central crop row which the robot then follows. The unique datase t we used with skeleton representations for crop row detection enables robust cr op row detection in challenging real world field conditions. Our algorithm can d etect crop rows against varying field conditions such as curved crop rows, weed presence, discontinuities, growth stages, tramlines, shadows and light levels. D ense weed presence within inter-row space and discontinuities in crop rows were the most challenging field conditions for our crop row detection algorithm." According to the news editors, the research concluded: "An End-of Row detector a lgorithm was developed to detect the end of the crop row and navigate the robot towards the headland area when it reaches the end of the crop row."
LincolnUnited KingdomEuropeAlgorit hmsEmerging TechnologiesMachine LearningRobotRoboticsUniversity of Lin coln
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