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Simplifying YOLOv5 for deployment in a real crop monitoring setting · Peerford

Article · Journal · 2023

Simplifying YOLOv5 for deployment in a real crop monitoring setting

Emmanuel Nnadozie, Pablo Casaseca-de-la-Higuera, Ogechukwu Iloanusi, Ozoemena Ani, Carlos Alberola-López

Multimedia Tools and Applications

Open access · Hybrid
World top 10%
International · 2 countries

Read it 10.1007/s11042-023-17435-x

Citations: 19from other works
Field-weighted impact: 4.911.00 is the world average for its field and year
Among its field: Top 10%by citations, against works of its field and year
Authors: 5from 2 institutions

Authors

5 authors across 2 institutions in 2 countries

Emmanuel NnadozieFirst authorCorresponding
- University of Nigeria (NG)
as printed: Emmanuel C. Nnadozie
Pablo Casaseca-de-la-Higuera
Ogechukwu Iloanusi
- University of Nigeria (NG)
Ozoemena Ani
- University of Nigeria (NG)
Carlos Alberola-LópezSenior author

Funded by

Agencia Estatal de Investigación
European Commission
Universidad de Valladolid

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Also on it

Universidad de Valladolideducation · ES

Fields

A work can sit in several, each with a score

Smart Agriculture and AITopic
Advanced Neural Network ApplicationsTopic
Plant Virus Research StudiesTopic