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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jiazhi Pan Min Huang Yong He |
| Copyright Year | 2007 |
| Description | Author affiliation: Zhejiang Univ., Hangzhou (Jiazhi Pan; Min Huang; Yong He) |
| Abstract | Multi-spectral imager was used to snap photos of crop and weed in fields, which include one crop and two weeds. Firstly segmented soil background by the ir channel distribution plot. Then, using morphological operations to delete these small sized weeds, and extract the soybean image. To identify the two difference shaped weed, image analysis operations were used. By computing the character attributes of image block, It was possible to get these parameters, and build an artificial neural networks identification model. Results showed that even the two weeds were similar in size and color, they could be identified with high correction rate. This method is simple and could easily be implemented in application. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 1819085 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424405882 |
| ISSN | 10915281 |
| DOI | 10.1109/IMTC.2007.379081 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-05-01 |
| Publisher Place | Poland |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Crops Image recognition Morphological operations Digital images Image segmentation Digital cameras Image color analysis Food technology Image texture analysis Layout Segmentation Crop Weed RBF-NN Morphology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Instrumentation Electrical and Electronic Engineering |
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