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Franklin X. Dono

University for Development Studies

P.O. Box TL 1350

Tamale

Ghana

  • University for Development Studies

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Application of Computer Vision and Machine Learning in Morphological Characterization of Adansonia Digitata Fruits

Number of pages: 21 Posted: 25 Jun 2024
Franklin X. Dono, Bernard Nuoleyeng Baatuuwie, Peter Sørensen and Felix K. Abagale
University for Development Studies, University for Development Studies - Department of Geo-Information Sciences, affiliation not provided to SSRN and University for Development Studies
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Baobab Fruit, Computer Vision, machine learning, Morphological Characteristics, Random Forest and Support Vector Machines, Mask-RCNN