Melon ripeness detection by an improved object detection algorithm for resource constrained environments
This study presents an efficient method for melon ripeness detection, and the dataset utilized in this study, alongside the detection method, will provide a valuable reference for ripeness detection across various types of fruits.
Authors
- Dongxi Li (ORCID: https://orcid.org/0000-0003-2786-8048)
- Yuanhao Wang (ORCID: https://orcid.org/0000-0003-4873-4858)
- Xuebin Jing
- Weihua Pan
Institutions
- Agricultural Genomics Institute at Shenzhen (CN)
- Chinese Academy of Agricultural Sciences (CN)
- Ministry of Agriculture and Rural Affairs (CN)
- Taiyuan University of Science and Technology (CN)
- Taiyuan University of Technology (CN)
Publication Details
- Journal
- Plant Methods
- Published
- 2024-08-16
- DOI
- https://doi.org/10.1186/s13007-024-01259-3
- Citations
- 21
- Primary Topic
- Industrial Vision Systems and Defect Detection
- Type
- article
- Field-Weighted Citation Impact
- 7.33
Funders
- National Natural Science Foundation of China
- Chinese Academy of Agricultural Sciences