Rubanga, D.P., Loyani, L.K., Richard, M., & Shimada, S. (2020). A Deep Learning Approach for Determining Effects of Tuta Absoluta in Tomato Plants Plants. International Conference on Learning Representations (ICLR) .
Rubanga, D. P., Mkonyi L., Richard M., Zekeya N., Loyani L.K., Shimada S., & Machuve D. (2020). A Deep Learning Dataset for Tomato Pest Leafminer TUTA ABSOLUTA. Zenodo.
Loyani L., Bradshaw K., & Machuve D. (2021). Segmentation of Tuta absoluta’s damage on tomato plants: A computer vision approach. Applied Artificial Intelligence. Taylor & Francis. 35(14), 1107-1127.
Loyani, L., & Machuve, D. (2021). A Deep Learning-based Mobile Application for Segmenting Tuta Absoluta’s Damage on Tomato Plants. Engineering, Technology & Applied Science Research, 11(5), 7730–7737.
Loyani, L., (2024). Segmentation-based Quantification of Tuta absoluta’s Damage on Tomato Plants. Smart Agricultural Technology, 7, 100415
Poster Presentation at 3rd Black in AI (BAI) workshop co located with the 33rd Neural Information Processing Systems (NeurIPS), Vancouver, Canada
Conference proceedings talk at Virtual, Adis Ababa, Ethiopia
Contributed Talk, Data Science Africa (DSA) at Virtual, Kampala, Uganda
Poster Presentation at Virtual, United States of America (USA)
Poster Presentation at 6th Black in AI (BAI) workshop co located with the 36th Neural Information Processing Systems (NeurIPS) Conference, New Orleans, Louisiana, USA
Spotlight Talk and Poster Presentation at Deep Learning Indaba, Accra, Ghana