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Rogers, Harry 
ORCID: https://orcid.org/0000-0003-3227-5677, Iglesia, Beatriz De La ORCID: https://orcid.org/0000-0003-2675-5826, Zebin, Tahmina ORCID: https://orcid.org/0000-0003-0437-0570, Cielniak, Grzegorz and Magri, Ben
(2023)
An Automated Precision Spraying Evaluation System.
In:
Towards Autonomous Robotic Systems - 24th Annual Conference, TAROS 2023, Proceedings.
Springer, pp. 26-37.
ISBN 978-3-031-43359-7
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.
| Item Type: | Book Section |
|---|---|
| Additional Information: | 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. |
| Uncontrolled Keywords: | agri-robotics,computer vision,xai,theoretical computer science,computer science(all) ,/dk/atira/pure/subjectarea/asjc/2600/2614 |
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Medicine and Health Sciences > Research Centres > Norwich Institute for Healthy Aging Faculty of Medicine and Health Sciences > Research Centres > Business and Local Government Data Research Centre (former - to 2023) Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre Faculty of Science > Research Groups > Data Science and Statistics |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 07 Oct 2023 01:31 |
| Last Modified: | 10 Oct 2023 00:52 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/93191 |
| DOI: | 10.1007/978-3-031-43360-3_3 |
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