Detection of multiple mangoes using histogram of oriented gradient technique in aerial monitoring
The project uses shape identification algorithm and Histogram of Oriented Gradient principle to detect and count the total number of mango on its tree using a quad copter with an attachable webcam. The traditional method in harvesting mango has its limitation which leads to the degradation of harves...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Asian Research Publishing Network (ARPN)
2016
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/18858/2/Detection%20of%20Multiple.pdf http://eprints.utem.edu.my/id/eprint/18858/ http://www.arpnjournals.org/jeas/research_papers/rp_2017/jeas_0417_5965.pdf |
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| Summary: | The project uses shape identification algorithm and Histogram of Oriented Gradient principle to detect and count the total number of mango on its tree using a quad copter with an attachable webcam. The traditional method in harvesting mango has its limitation which leads to the degradation of harvested mango’s quality. As a result, the rate of production and the structure of the tree will be dampening. Hence, usage of image processing algorithm could be a solution for a better and more precise mango’s pre-harvesting process. It differentiates the mango and its leaf based on the images captured on real scene and thus forecast the growth rate of the mango tree for time being. Tallness of the mango tree and location of mango would not affect farmer’s capability to inspect the mango as the drone hovers according to user’s intention. It is expected to provide an alternate review for the mango grower, agricultural developer and investor. |
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