Oyster Mushroom Growth Stage Identification: An Exploration of Computer Vision Technologies

Guo, Lipin; Zhang, Wei Emma; Chen, Weitong; Yang, Ni; Nguyen, Queen; Vo, Trung Duc

Abstract

Mushrooms play a pivotal role in bolstering Australia’s economy, impacting key sectors like agriculture, food production, and medicinal advancements. To meet the escalating need for sustainable food options and enhance mushroom harvesting efficiency, this research: i) introduces an innovative dataset featuring three growth stages of oyster mushrooms; ii) designs a monitoring system which consists of image acquisition, cloud storage, label map and applications to achieve effective monitoring; and iii) proposes a label map method to monitor different stages within panoramic images captured from the real mushroom cultivation environment. Our preliminary studies show that the label map with state-of-art VGG-16 model emerges as the optimal choice, achieving an impressive accuracy of 82.22%. Our dataset can be obtained upon request.

Citation

Guo, L., Zhang, W. E., Chen, W., Yang, N., Nguyen, Q., & Vo, T. D. (2023, November). Oyster Mushroom Growth Stage Identification: An Exploration of Computer Vision Technologies. Presented at AI 2023: Advances in Artificial Intelligence: 36th Australasian Joint Conference on Artificial Intelligence, Brisbane, Australia

• Presentation Conference Type: Edited Proceedings
• Conference Name: AI 2023: Advances in Artificial Intelligence: 36th Australasian Joint Conference on Artificial Intelligence
• Start Date: Nov 28, 2023
• End Date: Dec 1, 2023
• Acceptance Date: Nov 27, 2023
• Online Publication Date: Nov 26, 2023
• Publication Date: 2024
• Deposit Date: Jul 2, 2024
• Print ISSN: 0302-9743
• Electronic ISSN: 0302-9743
• Publisher: Springer Nature
• Pages: 67-78
• Series Title: Lecture Notes in Computer Science
• Series Number: 14471
• Series ISSN: 1611-3349
• Book Title: AI 2023: Advances in Artificial Intelligence: 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, November 28–December 1, 2023, Proceedings, Part I
• ISBN: 9789819983872
• DOI: https://doi.org/10.1007/978-981-99-8388-9_6
• Public URL: https://nottingham-repository.worktribe.com/output/27874379
• Publisher URL: https://link.springer.com/book/10.1007/978-981-99-8388-9