Loyani Loyani - Google Scholar

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	All	Since 2020
Citations	82	82
h-index	4	4
i10-index	3	3

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202120222023202420254 12 28 33 5

Co-authors

Dina MachuveLecturer, Nelson Mandela African Institution of Science and TechnologyVerified email at nm-aist.ac.tz
Karen Lee BradshawProfessor, Rhodes UniversityVerified email at ru.ac.za
Denis Pastory RUBANGA, Ph.D.

Loyani Loyani

Loyani Loyani

Nelson Mandela African Institution of Science and Technology

Verified email at nm-aist.ac.tz

Data Science Artificial Intelligence Machine Learning Deep Learning Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Segmentation of Tuta Absoluta’s Damage on Tomato Plants: A Computer Vision Approach L Loyani, K Bradshaw, D Machuve Applied Artificial Intelligence, 2021	32	2021
A deep learning-based Mobile application for segmenting Tuta Absoluta’s damage on tomato plants L Loyani, D Machuve Engineering, Technology & Applied Science Research, 2021	23	2021
A deep learning approach for determining effects of Tuta Absoluta in tomato plants DP Rubanga, LK Loyani, M Richard, S Shimada arXiv preprint arXiv:2004.04023, 2020	20	2020
A Deep Learning Approach. for Determining Effects of Tuta Absoluta in Tomato Plants. arXiv 2020 DP Rubanga, LK Loyani, M Richard, S Shimada arXiv preprint arXiv:2004.04023, 0	5
Segmentation-based quantification of Tuta absoluta’s damage on tomato plants L Loyani Smart Agricultural Technology 7, 100415, 2024	2	2024
A quantification model against tuta absoluta effects on tomato plants: a computer vision approach L Loyani NM-AIST, 2021		2021
A Deep Learning Dataset for Tomato Pest Leafminer TUTA ABSOLUTA. P Rubanga, Denis, L Mkonyi, R Mgaya, K Zekeya, Never, Loyani, Loyani, ... https://doi.org/10.5281/ZENODO.4305416, 2020		2020
Segmentation-Based Quantification Of Tuta Absoluta On Tomato Plants L Loyani Available at SSRN 4713818, 0

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