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- W2912101005 abstract "This is a research-in-progress of designing an intelligent morphological analysis for Artocarpus Altilis or commonly called This research applied image processing, artificial intelligence (AI) and system design. Using Unmanned Aerial Vehicle (UAV), images are captured, processed and fed to the artificial intelligence for classification. The initial result yields a 75% accuracy using the initial dataset. This study proves that using UAV combined with AI could substantially contribute to the agricultural industry in efficiently classifying breadfruit. This paper recommends further enhancement of the system." @default.
- W2912101005 created "2019-02-21" @default.
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- W2912101005 date "2018-06-13" @default.
- W2912101005 modified "2023-10-11" @default.
- W2912101005 title "Classifying Breadfruit Tree using Artificial Neural Networks" @default.
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- W2912101005 doi "https://doi.org/10.1145/3265007.3265014" @default.
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