Fortunatus Aabangbio Wulnye

ORCID, self-asserted

ORCID 0009-0000-7931-1837

Publications

Citations

h-index

Computed over the works the graph holds, so it is a floor rather than a career figure.

i10-index

Publications

9 works in the graph, newest first.

INGEN-eyx: An Integrated GenAI and ML-Based Early Detection of Glaucoma
2026PublicationOpen access0 citations10.1109/isivc69944.2026.11574358
TNY-INGEN-eyx: An Optimized TinyML-Based Early Detection of Glaucoma with Severity Level
2026PublicationFirst author0 citations10.1109/isivc69944.2026.11574267
Integrating machine learning and drone technology for precision agriculture: A smart solution for automated irrigation and crop management
2025Environmental ChallengesJournalOpen accessSenior author3 citations10.1016/j.envc.2025.101393
Wind-Powered Irrigation: Revolutionizing Agriculture and Carbon Credit in Arid and Semi-Arid Regions
2025Sustainability Sciences in Asia and AfricaBook Chapter0 citations10.1007/978-981-95-1483-0_12
TinyML for smart agriculture: Comparative analysis of TinyML platforms and practical deployment for maize leaf disease identification
2024Smart Agricultural TechnologyJournalOpen access25 citations10.1016/j.atech.2024.100490
Enabling Intelligence on the Edge: Leveraging Edge Impulse to Deploy Multiple Deep Learning Models on Edge Devices for Tomato Leaf Disease Detection
2024AgriEngineeringJournalOpen access17 citations10.3390/agriengineering6040203
Edge Impulse vs TensorFlow: A Comparative Analysis of TinyML Platforms for Maize Leaf Disease Identification
2024Publication7 citations10.1109/ictas59620.2024.10507119
TinyML Implementation on Microcontrollers: The Case of Maize Leaf Disease Identification
2024PublicationOpen accessFirst author5 citations10.1109/ictas59620.2024.10507115
Power Efficient Non-Mechanical Weather Station: Harnessing TinyML for Rainfall Classification and Environmental Sensing
2024Publication1 citations10.1109/icast61769.2024.10856468