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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

An automated yield prediction system using drone imagery, deep learning, and predictive analytics enables accurate yield estimation and supports improved harvest planning and decision-making and showed that manual upload provided more reliable detection than real-time analysis.

Regine A. Ponce-Machete · 0 citations

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