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- W2380982407 abstract "The usage of chemistry herbicide and insecticide brings impact on environment. The usage quantity of herbicide and insecticide can be reduced by selecting the target for precision-spraying. The key technology of precision-spraying is how to identify the target accurately. The foundation work for identifying the target is fast and accurate segmentation. A few color image models and the conversion formula were introduced in this paper. Program of image background segmentation was projected based on VC++ 6.0. The corn and peanut plot of Jiangpu Farm and wheat plot located in Nanjing Agricultural University was picked out for research object. The image was segmented and the segmented time was computed using the program. The color characteristics model of background segmentation was assessed by segmented quality and processing time. The results showed that the excess green 2G-R-B was the best index for segmentation. The index had characteristic of consuming little time, good quality of segmentation and not being influenced by sunshine intensity. It can satisfy the request of agricultural intelligence production in-time." @default.
- W2380982407 created "2016-06-24" @default.
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- W2380982407 date "2008-01-01" @default.
- W2380982407 modified "2023-09-24" @default.
- W2380982407 title "Contrast research on segmentation of farm crop and background based on color characteristic" @default.
- W2380982407 hasPublicationYear "2008" @default.
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