Location of seed spoilage in mango fruit using X-ray imaging and convolutional neural networks-Reference-Cited by-同舟云学术

Location of seed spoilage in mango fruit using X-ray imaging and convolutional neural networks

Published:2023-07 Issue: Volume:20 Page:e01649
ISSN:2468-2276
Container-title:Scientific African
language:en
Short-container-title:Scientific African

Author:

Ansah Francisca Aba^ORCID,Amo-Boateng Mark,Siabi Ebenezer K.,Bordoh Paa Kwesi^ORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference70 articles.

1. Control of mango seed weevils (Sternochetus mangiferae) using the African weaver Ant (Oecophylla longinoda Latreille)(Hymenoptera: formicidae);Abdulla;J. Appl. Entomol.,2016

2. Application of the biospeckle method for monitoring bull's eye rot development and quality changes of apples subjected to various storage methods—Preliminary studies;Adamiak;Sensors,2012

3. H. Ahmad, Y. Yacob, P. Saad, R.A.A. Raof, S. Ismail, Automatic classification of weevil-infested harum manis mangoes using artificial immune systems approach. In 1st international workshop on artificial life and robotics (2005) 37–41.

4. Pest management knowledge and practices of mango farmers in Southeastern Ghana;Akotsen-Mensah;J. Integr. Pest Manag.,2017

5. Fruit quality monitoring with smart packaging;Alam;Sensors,2021

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detection and classification of spongy tissue disorder in mango fruit during ripening by using visible-near infrared spectroscopy and multivariate analysis;Journal of Near Infrared Spectroscopy;2024-08-13

2. Deep learning models for detection and classification of spongy tissue disorder in mango using X-ray images;Journal of Food Measurement and Characterization;2024-07-24

3. Advancing mango quality assurance: Non‐destructive detection of spongy tissue using visible near‐infrared spectroscopy and machine learning classification;Future Postharvest and Food;2024-07

4. Enhancing mango quality control: A novel approach to spongy tissue inspection through image clustering and machine learning models via X‐ray imaging;Journal of Food Process Engineering;2024-06

5. Application, challenges and future prospects of recent nondestructive techniques based on the electromagnetic spectrum in food quality and safety;Food Chemistry;2024-05