TY - GEN
T1 - Automated coffee plant detection and counting system using machine learning
AU - Garcia-Downing, Geovanny
AU - Leiton-Jimenez, Jason
AU - Barboza-Artavia, Luis
AU - Chavarria-Zamora, Luis
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper presents a machine learning-based system for automated coffee plant detection and counting using drone-captured images. Leveraging the YOLO (You Only Look Once) algorithm, the system aims to improve efficiency and accuracy in coffee farming, particularly in regions like Costa Rica, where manual plant counting is labor-intensive and prone to error. Our model achieves a mean precision of 87.03%, with a median precision of 87.28%. Notably, 45.45% of the results exceed 88% precision. The system's scalability allows it to be used across farms with varying drone equipment quality. The paper outlines the methodology, results, challenges faced, and future improvements aimed at extending the system's capabilities for other crops.
AB - This paper presents a machine learning-based system for automated coffee plant detection and counting using drone-captured images. Leveraging the YOLO (You Only Look Once) algorithm, the system aims to improve efficiency and accuracy in coffee farming, particularly in regions like Costa Rica, where manual plant counting is labor-intensive and prone to error. Our model achieves a mean precision of 87.03%, with a median precision of 87.28%. Notably, 45.45% of the results exceed 88% precision. The system's scalability allows it to be used across farms with varying drone equipment quality. The paper outlines the methodology, results, challenges faced, and future improvements aimed at extending the system's capabilities for other crops.
KW - automated counting
KW - coffee cultivation
KW - drone imagery
KW - machine learning
KW - plant detection
KW - precision agriculture
KW - YOLO
UR - https://www.scopus.com/pages/publications/105022282803
U2 - 10.1109/IoTAAI66837.2025.11213470
DO - 10.1109/IoTAAI66837.2025.11213470
M3 - Contribución a la conferencia
AN - SCOPUS:105022282803
T3 - 2025 7th International Conference on Internet of Things, Automation and Artificial Intelligence, IoTAAI 2025
SP - 15
EP - 23
BT - 2025 7th International Conference on Internet of Things, Automation and Artificial Intelligence, IoTAAI 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Internet of Things, Automation and Artificial Intelligence, IoTAAI 2025
Y2 - 12 September 2025 through 14 September 2025
ER -