TY - GEN
T1 - Coffee Crop Detection from UAS Orthomaps with Convolutional Neural Networks
AU - Arriola-Valverde, Sergio
AU - López-Rojas, Santiago
AU - Ramírez-Valerio, Daniel
AU - Somarriba-Chavez, Eduardo
AU - Rimolo-Donadio, Renato
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This paper proposes a methodology for the automatic detection of coffee plants from close-range aerial images and deep learning techniques based on the YOLO framework. The data collection methodology, image preprocessing, and neural network training are discussed. Image datasets were collected at different locations in the central region of Costa Rica between 2018 and 2021. Models developed using this methodological approach had average mean accuracies up to 93% ([email protected]) on independent test sets; the detection performance achieved was 92% by using yolov4ext-ghost as a network architecture.
AB - This paper proposes a methodology for the automatic detection of coffee plants from close-range aerial images and deep learning techniques based on the YOLO framework. The data collection methodology, image preprocessing, and neural network training are discussed. Image datasets were collected at different locations in the central region of Costa Rica between 2018 and 2021. Models developed using this methodological approach had average mean accuracies up to 93% ([email protected]) on independent test sets; the detection performance achieved was 92% by using yolov4ext-ghost as a network architecture.
KW - coffee
KW - convolutional neural networks
KW - Costa Rica
KW - deep learning
KW - machine learning
KW - photogrammetry
KW - unmanned aerial systems
UR - http://www.scopus.com/inward/record.url?scp=85178643360&partnerID=8YFLogxK
U2 - 10.1109/CAFE58535.2023.10291910
DO - 10.1109/CAFE58535.2023.10291910
M3 - Contribución a la conferencia
AN - SCOPUS:85178643360
T3 - 2023 IEEE Conference on AgriFood Electronics, CAFE 2023 - Proceedings
SP - 5
EP - 9
BT - 2023 IEEE Conference on AgriFood Electronics, CAFE 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st IEEE Conference on AgriFood Electronics, CAFE 2023
Y2 - 25 September 2023 through 27 September 2023
ER -