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ORCIDGodliver Owomugisha
Person information
- affiliation: Busitema University, Department of Computer Engineering, Uganda
- affiliation (PhD 2020): University of Groningen, Bernoulli Institute for Mathematics, The Netherlands
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Journal Articles
- 2024
[j3]Emmanuel Ahishakiye, Waweru Mwangi, Petronilla Muriithi, Fredrick Kanobe, Godliver Owomugisha, Danison Taremwa, Lenard Nkalubo:
Deep Gaussian convolutional neural network model in classification of cassava diseases using spectral data. J. Supercomput. 80(1): 463-485 (2024)- 2023
- [j2]Jonathan Omara, Estefanía Talavera
, Daniel Otim, Dan Turcza, Emmanuel Ofumbi, Godliver Owomugisha:
A field-based recommender system for crop disease detection using machine learning. Frontiers Artif. Intell. 6 (2023) - 2021
- [j1]Godliver Owomugisha, Friedrich Melchert, Ernest Mwebaze, John A. Quinn, Michael Biehl:
Matrix Relevance Learning From Spectral Data for Diagnosing Cassava Diseases. IEEE Access 9: 83355-83363 (2021)
Conference and Workshop Papers
- 2023
- [c4]Joshua Jeremy Dhikusooka, Ephraim Nuwamanya, Estefania Talavera Martínez, Godliver Owomugisha:
A Light Spectrometer Device for Crop Disease Monitoring. Tiny Papers @ ICLR 2023 - 2020
- [c3]Godliver Owomugisha, Ephraim Nuwamanya, John A. Quinn, Michael Biehl, Ernest Mwebaze:
Early detection of plant diseases using spectral data. APPIS 2020: 26:1-26:6 - [c2]Godliver Owomugisha, Pius K. B. Mugagga, Friedrich Melchert, Ernest Mwebaze, John A. Quinn, Michael Biehl:
A low-cost 3-D printed smartphone add-on spectrometer for diagnosis of crop diseases in field. COMPASS 2020: 331-332 - 2016
- [c1]Ernest Mwebaze, Godliver Owomugisha:
Machine Learning for Plant Disease Incidence and Severity Measurements from Leaf Images. ICMLA 2016: 158-163
Coauthor Index
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last updated on 2024-07-25 20:21 CEST by the dblp team
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