TY - GEN
T1 - Identifying Defective Fruits and Vegetables with Hyper-spectral Images
T2 - 3rd International Conference on Information Systems and Software Technologies, ICI2ST 2022
AU - Figueroa, Saul
AU - Morocho-Cayamcela, Manuel Eugenio
AU - Pineda, Israel
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Horticulture is the branch of agriculture that addresses the crop of fruits and vegetables. This art of cultivating natural products has been a critical research area that helped to satisfy human's food consumption. The enhancement of quality control has improved the cost-effectiveness and increased the financial profit of the production. This study presents a processing pipeline architecture that assesses the quality of fruits and vegetables through image processing. The solution involves hyper-spectral imaging, image enhancement, image binarization, and median filtering. Our experiments demonstrate that our image processing pipeline proposal successfully identifies the defective regions in a publicly available dataset that contains images of apples and onions.
AB - Horticulture is the branch of agriculture that addresses the crop of fruits and vegetables. This art of cultivating natural products has been a critical research area that helped to satisfy human's food consumption. The enhancement of quality control has improved the cost-effectiveness and increased the financial profit of the production. This study presents a processing pipeline architecture that assesses the quality of fruits and vegetables through image processing. The solution involves hyper-spectral imaging, image enhancement, image binarization, and median filtering. Our experiments demonstrate that our image processing pipeline proposal successfully identifies the defective regions in a publicly available dataset that contains images of apples and onions.
KW - Computational agriculture
KW - hyper-spectral imaging
KW - image binarization
KW - image enhancement
KW - image filtering
UR - https://www.scopus.com/pages/publications/85151325777
U2 - 10.1109/ICI2ST57350.2022.00011
DO - 10.1109/ICI2ST57350.2022.00011
M3 - Contribución a la conferencia
AN - SCOPUS:85151325777
T3 - Proceedings - 3rd International Conference on Information Systems and Software Technologies, ICI2ST 2022
SP - 21
EP - 27
BT - Proceedings - 3rd International Conference on Information Systems and Software Technologies, ICI2ST 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 8 November 2022 through 10 November 2022
ER -