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- W2510583639 abstract "Abstract. One of the tools for optimal crop production is regular monitoring and assessment of crops. During the growing season of fruit trees, the bloom period has increased photosynthetic rates that correlate with the fruiting process. This paper presents the development of an image processing algorithm to detect peach blossoms on trees. Images of an experimental peach orchard were acquired from the Parma Research and Extension Center of the University of Idaho using an off-the-shelf unmanned aerial system (UAS), equipped with a multispectral camera (Near-infrared, Green, Blue). The orchard has different stone fruit varieties and different plant training system. Individual tree images (high-resolution) and arrays of trees images (low-resolution) were acquired to evaluate the detection capability. The image processing algorithm was based on different vegetation indices. Initial results showed that the image processing algorithm could detect peach blossoms and demonstrate good potential as a monitoring tool for orchard management.." @default.
- W2510583639 created "2016-09-16" @default.
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- W2510583639 date "2016-07-17" @default.
- W2510583639 modified "2023-09-25" @default.
- W2510583639 title "Peach Flower Monitoring Using Aerial Multispectral Imaging" @default.
- W2510583639 doi "https://doi.org/10.13031/aim.20162461520" @default.
- W2510583639 hasPublicationYear "2016" @default.
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