Sorting for defects

Author:

Bollen Arthur Frank,Prussia Stanley E.

Publisher

Elsevier

Reference69 articles.

1. Multispectral inspection of citrus in real-time using machine vision and digital signal processors;Aleixos;Computers and Electronics in Agriculture,2002

2. Evaluation of image processing technique as an expert system in mulberry fruit grading based on ripeness level using artificial neural networks (ANNs) and support vector machine (SVM);Azarmdel;Postharvest Biology and Technology,2020

3. Performance measures for dynamic signal detection;Balakrishnan;Journal of Mathematical Psychology,2011

4. Machine vision-based measurement systems for fruit and vegetable quality control in postharvest;Blasco,2017

5. Bollen, A. F. (1986). Sorting fruit: Systems design and operation. Postharvest Manual. Unpublished, New Zealand Agricultural Engineering Institute/Ministry of Agriculture and Fisheries. Hamilton, New Zealand.

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