Projects per year
Abstract
A conventional method to inspect the varietal purity of rice seeds is based on evaluating human visual inspection where a random sample is drawn from a batch. This is a tedious, laborious, time consuming and extremely inefficient task. This paper presents an automatic rice seed inspection method using Hyperspectral imaging and machine learning, to automatically detect unwanted seeds from other varieties which may be contained in a batch. Hyperspectral image data from Near-infrared (NIR) and Visible cameras are acquired for six common rice seed varieties. The results of applying two classifiers are presented, a Support Vector Machine (SVM) and a Random Forest (RF), where each consists of six one-versus-rest binary classifiers. The results show that combining spectral and shape- based features derived from the rice seeds, increase precision of the multi-label classification to 84% compared 74% when only visual features are used.
Original language | English |
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Number of pages | 6 |
Publication status | Accepted/In press - 30 Aug 2016 |
Event | 12th IEEE-RIVF International Conference on Computing and Communication Technologies - Thuyloi University, Hanoi, Viet Nam Duration: 7 Nov 2016 → 9 Nov 2016 Conference number: 12 http://rivf2016.tlu.edu.vn/ |
Conference
Conference | 12th IEEE-RIVF International Conference on Computing and Communication Technologies |
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Abbreviated title | IEEE-RIVF |
Country/Territory | Viet Nam |
City | Hanoi |
Period | 7/11/16 → 9/11/16 |
Internet address |
Keywords
- rice seed
- inspection
- hyperspectral imaging
Fingerprint
Dive into the research topics of 'Spatial and spectral features utilization on a hyperspectral imaging system for rice seed varietal purity inspection'. Together they form a unique fingerprint.Projects
- 1 Finished
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Automatic Rice Seed Inspection Using Hyper-Spectral Imaging (Newton Fund)
Tachtatzis, C. (Principal Investigator), Harle, D. (Co-investigator), Marshall, S. (Co-investigator) & Murray, P. (Co-investigator)
Royal Academy of Engineering RAE
15/11/15 → 14/02/17
Project: Research
Activities
- 1 Visiting an external academic institution
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MICA International Research Institute, Hanoi University of Science and Technology
Tachtatzis, C. (Visiting researcher)
14 Aug 2016 → 20 Aug 2016Activity: Visiting an external institution types › Visiting an external academic institution