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Verified ScholarVerified at Masinde Muliro University of Science and TechnologyASIDASID-7826-2555-0163 orcid.org/0000-0001-7887-4216
Cedric Okinda
Masinde Muliro University of Science and Technology•Kenya
Faculty researcher at Masinde Muliro University of Science and Technology (Kenya), specializing in Agricultural, Environmental & Life Sciences. [Discipline: Agricultural, Environmental & Life Sciences] [Country: Kenya] [Region: East Africa]
#Smart Agriculture and AI#Agricultural Engineering and Mechanization#Advanced Neural Network Applications#Water Quality Monitoring Technologies
Scholarly Profiles: Google Scholar
Citation Indices
Standard Scientometrics| All | Since 2021 | |
|---|---|---|
| Citations | 1,344 | 645 |
| h-index | 19 | 14 |
| i10-index | 21 | 15 |
Annual Citation Growth
Verified Citations / Year0
202065
2021+38%90
2022+29%116
2023+34%155
2024-8%142
2025-46%77
2026Scholarship Distribution & Proportions26 Articles • 0 Books & Monographs • 0 Applied Assignments
Continental Provenance:82% African Regional Citations (1,102) • 18% Global Research Impact (242)
26 Indexed WorksAuthentic Data
Co-Authors & Academic Collaborators
No verified co-authors registered on AfriJournal Index yet.
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Articles & Books (26)
A computer vision system for defect discrimination and grading in tomatoes using machine learning and image processing
Published in Artificial Intelligence in Agriculture•2019
DOI: 10.1016/j.aiia.2019.06.001 Verified Peer-Reviewed
A review on computer vision systems in monitoring of poultry: A welfare perspective
Published in Artificial Intelligence in Agriculture•2020
DOI: 10.1016/j.aiia.2020.09.002 Verified Peer-Reviewed
A machine vision system for early detection and prediction of sick birds: A broiler chicken model
Published in Biosystems Engineering•2019
DOI: 10.1016/j.biosystemseng.2019.09.015 Verified Peer-Reviewed
Tomato volume and mass estimation using computer vision and machine learning algorithms: Cherry tomato model
Published in Journal of Food Engineering•2019
DOI: 10.1016/j.jfoodeng.2019.07.012 Verified Peer-Reviewed
Weight and volume estimation of poultry and products based on computer vision systems: a review
Published in Poultry Science•2021
DOI: 10.1016/j.psj.2021.101072 Verified Peer-Reviewed
Showing 1 – 5 of 26 publications
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