Plant leaf segmentation and health status classification based on chlorophyll fluorescence images using machine learning

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dc.contributor.authorLöfgren, August
dc.contributor.departmentChalmers tekniska högskola / Institutionen för elektrotekniksv
dc.contributor.examinerWik, Torsten
dc.contributor.supervisorKarinne
dc.date.accessioned2024-06-03T10:58:05Z
dc.date.available2024-06-03T10:58:05Z
dc.date.issued2024
dc.date.submitted
dc.identifier.coursecodeEENX30
dc.identifier.urihttp://hdl.handle.net/20.500.12380/307704
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.titlePlant leaf segmentation and health status classification based on chlorophyll fluorescence images using machine learning
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster's Thesisen
dc.type.uppsokH
local.programmeSystems, control and mechatronics (MPSYS), MSc
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