Identifying Defective Fruits and Vegetables with Hyper-spectral Images: A Brief Tutorial


Abstract:

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.

Año de publicación:

2022

Keywords:

  • hyper-spectral imaging
  • image binarization
  • Computational agriculture
  • Image enhancement
  • image filtering

Fuente:

googlegoogle
scopusscopus

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Aprendizaje automático
  • Ciencias de la computación
  • Ciencia agraria

Áreas temáticas:

  • Métodos informáticos especiales
  • Ciencias de la computación
  • Física aplicada