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- W4367017350 abstract "To meet rising global demand, the agriculture industry needs to significantly increase crop yield. This article discusses a field service autonomous robot based on the Robotic Operating System (ROS) that concurrently routes via obstructed crop and weed rows and carries out various activities, like weed detection, disease detection, and many others. A technique for navigating over obscured crop rows is provided using a suggested Light Detection and Ranging (LiDAR) setup. The given ROS modelling architecture and optimized LiDAR setup aided in the creation of the agricultural robot, which would eventually aid in the elimination of ineffective agricultural approaches such as fertilizers, insecticides, herbicides, and other chemicals." @default.
- W4367017350 created "2023-04-27" @default.
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- W4367017350 date "2022-01-01" @default.
- W4367017350 modified "2023-09-26" @default.
- W4367017350 title "AgriDoc: ROS integrated agricultural robot" @default.
- W4367017350 doi "https://doi.org/10.1049/icp.2023.0317" @default.
- W4367017350 hasPublicationYear "2022" @default.
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