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Author

E. Chidi

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Review Open access Sep 2026

A comprehensive review of deep learning methods for weed classification in precision agriculture

Weeds today are among the factors contributing to low agricultural productivity. As the world’s population continues to grow, there is an urgent need to meet global food demand. Nigeria currently lacks sufficient crop production to feed its growing population, and weeds are among the core contributors to poor agricultu...

Njoku Camillus Ekene, F. Okoye, E. Chidi et al. · 0 citations
Review Open access 2026

A Comprehensive Review of Deep Learning Approaches for Automated Farm Weed Classification

The research results have concluded that, in the future, lightweight models, larger-scale, more diverse data, and the integration of deep learning with IoT and autonomous systems should be the subject of research to make the processes of monitoring and controlling weeds in modern agriculture fully automated and sustain...

F. Okoye, Njoku Camillus Ekene, E. Chidi · 0 citations

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