University of Aberdeen logo

AURA - Aberdeen University Research Archive

 

Deep CNN based droplet deposition segmentation for spray distribution assessment

Simple item page
dc.contributor.authorChen, Tao
dc.contributor.authorMeng, Yanhua
dc.contributor.authorSu, Jinya
dc.contributor.authorLiu, Cunjia
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Machine Learningen
dc.date.accessioned2023-06-19T23:18:47Z
dc.date.available2023-06-19T23:18:47Z
dc.date.embargoedUntil2023-06-20
dc.date.issued2022
dc.format.extent6
dc.format.extent4918981
dc.identifier216946019
dc.identifier84bd460a-5464-4d04-b19e-1056cb8c9d34
dc.identifier85141136094
dc.identifier.citationChen, T, Meng, Y, Su, J & Liu, C 2022, Deep CNN based droplet deposition segmentation for spray distribution assessment. in 27th International Conference on Automation and Computing (ICAC2022). IEEE Press, pp. 1-6, 27th International Conference on Automation and Computing , Bristol, 1/09/22. https://doi.org/10.1109/ICAC55051.2022.9911061en
dc.identifier.citationconferenceen
dc.identifier.doi10.1109/ICAC55051.2022.9911061
dc.identifier.urihttps://hdl.handle.net/2164/20930
dc.language.isoeng
dc.publisherIEEE Press
dc.relation.ispartof27th International Conference on Automation and Computing (ICAC2022)en
dc.subjectSDG 12 - Responsible Consumption and Productionen
dc.subjectConvolutional neural network (CNN)en
dc.subjectDroplet segmentationen
dc.subjectPesticide spray analysisen
dc.subjectPrecision agricultureen
dc.subjectSemantic segmentationen
dc.subjectWater sensitive paperen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subject.lccQA75en
dc.titleDeep CNN based droplet deposition segmentation for spray distribution assessmenten
dc.typeConference itemen

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Chen_etal_ICAAC2022_Deep_CNN_Based_AAM.pdf
Size:
4.69 MB
Format:
Adobe Portable Document Format
Download

Collections

All research