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About the database ScholarIQanswers from OpenAlex & ORCID
How has Thomas Kinyanjui Njoroge's publication output changed over time?
ScholarIQpublication output · 2024–2025
Output grew400% over the shown period — from 1 works in 2024 to 5 in 2025.
1
5
20242025
What are the most-cited papers on Thomas Kinyanjui Njoroge?
ScholarIQmost cited works
Comparative and edge-hybrid modeling of EfficientNetV2 and MobileNetV2 for multi-classcrop disease classification with statistical validation
Thomas Kinyanjui Njoroge, Rachael Kibuku, Kevin Mugoye
Journal of Edge Computing. 20254 CitationsOPEN ACCESS
Feature Extraction and Segmentation Methods in Plant Disease Detection: A Multimodal Approach
Thomas Kinyanjui Njoroge, Kevin Mugoye Sindu, Kibuku Rachael
Andalasian International Journal of Applied Science Engineering and Technology. 20242 CitationsOPEN ACCESS
Edge optimized multimodal cross fusion model with statistical validation for multi crop disease detection
Thomas Kinyanjui Njoroge, Kevin Mugoye, Rachael Kibuku
International Journal of Advances in Intelligent Informatics. 20251 CitationsOPEN ACCESS
Edge-Enabled Mobile App for Smart Agriculture Using Multi-Sensor Inputs and a Hybrid CNN–Vision Transformer Model
Thomas Kinyanjui Njoroge, Rachael Kibuku, Kelvin Mugoye Sindu
S4210177413. 20251 CitationsOPEN ACCESS
Edge-optimized multimodal cross-fusion architecture for efficient crop disease detection
Thomas Kinyanjui Njoroge, Kelvin Mugoye Shindu, Rachael Kibuku
International Journal of Science Technology Engineering and Mathematics. 20250 CitationsOPEN ACCESS
Related on ScholarIQ
Karatina University
Institution
Comparative and edge-hybrid modeling of EfficientNetV2 and MobileNetV2 for multi-classcrop disease classification with statistical validation
Paper
Feature Extraction and Segmentation Methods in Plant Disease Detection: A Multimodal Approach
Paper
Edge optimized multimodal cross fusion model with statistical validation for multi crop disease detection
Paper
Edge-Enabled Mobile App for Smart Agriculture Using Multi-Sensor Inputs and a Hybrid CNN–Vision Transformer Model
Paper
Edge-optimized multimodal cross-fusion architecture for efficient crop disease detection
Paper