Bouzid Emna
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Research Areas
Biography and Research Information
OverviewAI-generated summary
Bouzid Emna's research investigates the application of explainable machine learning techniques to smart hydroponic farming systems. Their work focuses on comparing different interpretability methods to enhance understanding and trust in AI-driven agricultural solutions. This research contributes to the field of agricultural technology by exploring how machine learning can be made more transparent and accessible for practical use in controlled environment agriculture.
Metrics
- Publications: 1
Selected Publications
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Explainable Machine Learning for Smart Hydroponic Farming: A Comparative Study of Interpretability Techniques (2026)
Collaboration Network
Top Collaborators
- Explainable Machine Learning for Smart Hydroponic Farming: A Comparative Study of Interpretability Techniques
- Explainable Machine Learning for Smart Hydroponic Farming: A Comparative Study of Interpretability Techniques
- Explainable Machine Learning for Smart Hydroponic Farming: A Comparative Study of Interpretability Techniques
- Explainable Machine Learning for Smart Hydroponic Farming: A Comparative Study of Interpretability Techniques
- Explainable Machine Learning for Smart Hydroponic Farming: A Comparative Study of Interpretability Techniques
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