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Regine A. Ponce-Machete

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Conference Aug 2026

CALYE: a deep learning approach for calamansi fruit yield estimation through CNN-based flower detection

Accurate yield estimation is important for improving agricultural productivity and farm management, particularly for calamansi (Citrofortunella microcarpa), a key citrus crop in the Philippines. Traditional methods, such as manual counting, are labor-intensive and error-prone. This study developed an automated yield pr...

Regine A. Ponce-Machete · 0 citations

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