A pilot programme of fruit grading system using computer vision

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Title

A pilot programme of fruit grading system using computer vision

Content partner

EIT (Eastern Institute of Technology)

Collection

Research Bank

Description

RESEARCH QUESTIONS: 1. How can New Zealand’s agriculture industry use computer vision technologies to improve the accuracy of their fruit grading system? 2. What are the similarities and differences in object detection and image classification effectiveness in grading fruits? 3. What factors influence agricultural companies’ decision on embracing computer vision for fruit grading in New Zealand? ABSTRACT: Traditional fruit grading work depends on a large labour force during harvesting time. H...

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Format

Research paper

Research format

Master Dissertation

Thesis level

Masters

Date created

2021

Creator

Wang, Liang

URL

https://hdl.handle.net/10652/5667

Related subjects

computer vision / object detection / machine learning / deep learning / fruit grading / SageMaker / MXNet / TensorFlow / New Zealand / Post harvest horticultural technologies (incl. transportation and storage) / Computer vision

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