Clawson, Garry and Fox, Charles (2022) Blockchain Crop Assurance and Localisation. In: The 5th UK Robotics and Autonomous Systems Conference, 26 Aug, 2022, Aberystwyth, UK.
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Blockchain_Clawson_UKRAS22.pdf - Whole Document Available under License Creative Commons Attribution-NoDerivatives 4.0 International. 4MB |
Item Type: | Conference or Workshop contribution (Paper) |
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Item Status: | Live Archive |
Abstract
Food supply chain assurance should begin in the field with regular per-plant re-identification and logging. This is challenging due to localisation and storage requirements. A proof-of-concept solution is provided, using an image-based, super-GNSS precision, robotic localisation per-plant re-identification technique with decentralised storage and blockchain technology. ORB descriptors and RANSAC are used to align in-field stones to previously captured stone images for localisation. Blockchain smart contracts act as a data broker for repeated update and retrieval of an image from a distributed file share system. Results suggest that localisation can be achieved to sub 100mm within a time window of 18 seconds. The implementation is open source and available at: \url{https://github.com/garry-clawson/Blockchain-Crop-Assurance-and-Localisation}
Keywords: | blockchain, robotics, Agriculture |
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Subjects: | H Engineering > H671 Robotics D Veterinary Sciences, Agriculture and related subjects > D400 Agriculture |
Divisions: | College of Science > School of Computer Science |
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ID Code: | 50385 |
Deposited On: | 23 Aug 2022 13:07 |
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