2 Sept 2026Open access
Development and Evaluation of a Fine-Tuned EfficientNet-B0 Model for Maize Disease DetectionPublisher siteResearch Square, Smart Agriculture and AI
UniversitiesMayumbo Nyirenda
Active, last published 2026
In smart agriculture and ai
Mayumbo
Nyirenda
Scholar“Research focused on Smart Agriculture and AI and adjacent fields.”
University of Zambia
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01 · About the work
What I study
ayumbo Nyirenda is a researcher working on Smart Agriculture and AI. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Mayumbo's work has been cited 125 times across 2 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Smart Agriculture and AI×7COVID-19 epidemiological studies×6Technology Adoption and User Behaviour×4Data Management and Algorithms×4Cloud Computing and Resource Management×3
04 · Where I am
Affiliations
Affiliation on published researchUniversity of ZambiaDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
6 works4 Aug 2026Open access
A systematic review of intelligent wireless communication and sensing for sustainable 5G and 6G enabled intelligent transportation systemsPublisher siteDiscover Networks, Traffic Prediction and Management Techniques
8 Jul 2026Open access
Correction: A systematic review of intelligent wireless sensing architectures for AI-enabled maize disease monitoring in 5G and 6G networksPublisher siteDiscover Networks, Smart Agriculture and AI
1 Jul 2026Open access
Hybrid multi-disease SEIR and transformer models for infectious disease forecasting in ZambiaPublisher siteBMC Artificial Intelligence, COVID-19 epidemiological studies
1 Jan 2025Open access5cites
Early Detection of Sexually Transmitted Infections Using YOLO 12: A Deep Learning ApproachPublisher siteOpen Journal of Applied Sciences, Data-Driven Disease Surveillance
1 Jan 20254cites
Evaluating Perceived Workload, Usability and Usefulness of Artificial Intelligence Systems in Low-Resource Settings: Semi-automated Classification and Detection of Community Acquired PneumoniaPublisher siteLecture notes in computer science, COVID-19 diagnosis using AI
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