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http://bura.brunel.ac.uk/handle/2438/27577
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DC Field | Value | Language |
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dc.contributor.author | Rogers, H | - |
dc.contributor.author | Zebin, T | - |
dc.contributor.author | De La Iglesia, B | - |
dc.contributor.author | Cielniak, G | - |
dc.contributor.author | Magri, B | - |
dc.coverage.spatial | Cambridge, UK | - |
dc.date.accessioned | 2023-11-07T19:24:42Z | - |
dc.date.available | 2023-11-07T19:24:42Z | - |
dc.date.issued | 2023-09-08 | - |
dc.identifier | ORCID iD: Harry Rogers http://orcid.org/0000-0003-3227-5677 | - |
dc.identifier | ORCID iD: Beatriz De La Iglesia http://orcid.org/0000-0003-2675-5826 | - |
dc.identifier | ORCID iD: Tahmina Zebin https://orcid.org/0000-0003-0437-0570 | - |
dc.identifier | ORCID iD: Grzegorz Cielniak https://orcid.org/0000-0002-6299-8465 | - |
dc.identifier.citation | Rogers, H. et al. (2023) 'An Automated Precision Spraying Evaluation System', in Iida, F. et al. (eds.) Towards Autonomous Robotic Systems 24th Annual Conference, TAROS 2023, Cambridge, UK, September 13–15, (Lecture Notes in Computer Science, vol 14136). Cham, Switzerland: Springer, pp. 26 - 37. doi: 10.1007/978-3-031-43360-3_3. | en_US |
dc.identifier.isbn | 978-3-031-43359-7 (hbk) | - |
dc.identifier.issn | 978-3-031-43360-3 (ebk) | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/27577 | - |
dc.description | Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14136) Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI) | - |
dc.description.abstract | Data-driven robotic systems are imperative in precision agriculture. Currently, Agri-Robot precision sprayers lack automated methods to assess the efficacy of their spraying. In this paper, images were collected from an RGB camera mounted to an Agri-robot system to locate spray deposits on target weeds or non-target lettuces. We propose an explainable deep learning pipeline to classify and localise spray deposits without using existing manual agricultural methods. We implement a novel stratification and sampling methodology to improve classification results. Spray deposits are identified with over 90% Area Under the Receiver Operating Characteristic and over 50% Intersection over Union for a Weakly Supervised Object Localisation task. This approach utilises near real-time architectures and methods to achieve inference for both classification and localisation in 0.062 s on average. | en_US |
dc.description.sponsorship | This work is supported by the UK Engineering and Physical Sciences Research Council [EP/S023917/1]. This work is also supported by Syngenta as the Industrial partner. | en_US |
dc.format.extent | 26 - 37 | - |
dc.format.medium | Print-Electronic | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartofseries | Lecture Notes in Computer Science;LNCS, volume 14136 | - |
dc.relation.ispartofseries | Lecture Notes in Artificial Intelligence (LNAI) | - |
dc.rights | Copyright © 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG. This is a pre-copyedited, author-produced version of a book chapter accepted for publication In: Iida, F., Maiolino, P., Abdulali, A., Wang, M. (eds) Towards Autonomous Robotic Systems. TAROS 2023. Lecture Notes in Computer Science(), vol 14136. Springer, Cham. https://doi.org/10.1007/978-3-031-43360-3_3. See: https://www.springernature.com/gp/open-research/policies/book-policies. | - |
dc.rights.uri | https://www.springernature.com/gp/open-research/policies/book-policies | - |
dc.source | Towards Autonomous Robotic Systems: 24th Annual Conference, TAROS 2023, Cambridge, UK, September 13–15, 2023, Proceedings | - |
dc.source | Towards Autonomous Robotic Systems: 24th Annual Conference, TAROS 2023, Cambridge, UK, September 13–15, 2023, Proceedings | - |
dc.source | Towards Autonomous Robotic Systems: 24th Annual Conference, TAROS 2023, Cambridge, UK, September 13–15, 2023, Proceedings | - |
dc.subject | agri-robotics | en_US |
dc.subject | computer vision | en_US |
dc.subject | XAI | en_US |
dc.title | An Automated Precision Spraying Evaluation System | en_US |
dc.type | Book chapter | en_US |
pubs.finish-date | 2023-09-15 | - |
pubs.finish-date | 2023-09-15 | - |
pubs.finish-date | 2023-09-15 | - |
pubs.publication-status | Published | - |
pubs.start-date | 2023-09-12 | - |
pubs.start-date | 2023-09-12 | - |
pubs.start-date | 2023-09-12 | - |
dc.rights.holder | The Author(s), under exclusive license to Springer Nature Switzerland AG | - |
Appears in Collections: | Dept of Computer Science Embargoed Research Papers |
Files in This Item:
File | Description | Size | Format | |
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FullText.pdf | Embargoed until 8 September 2024. Copyright © 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG. This is a pre-copyedited, author-produced version of a book chapter accepted for publication In: Iida, F., Maiolino, P., Abdulali, A., Wang, M. (eds) Towards Autonomous Robotic Systems. TAROS 2023. Lecture Notes in Computer Science(), vol 14136. Springer, Cham. https://doi.org/10.1007/978-3-031-43360-3_3. See: https://www.springernature.com/gp/open-research/policies/book-policies. | 7.62 MB | Adobe PDF | View/Open |
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