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A smartphone-based apple yield estimation application using imaging features and the ANN method in mature period Scientia Agricola
Qian,Jianping; Xing,Bin; Wu,Xiaoming; Chen,Meixiang; Wang,Yan'an.
ABSTRACT: Apple yield estimation using a smartphone with image processing technology offers advantages such as low cost, quick access and simple operation. This article proposes distribution framework consisting of the acquisition of fruit tree images, yield prediction in smarphone client, data processing and model calculation in server client for estimating the potential fruit yield. An image processing method was designed including the core steps of image segmentation with R/B value combined with V value and circle-fitting using curvature analysis. This method enabled four parameters to be obtained, namely, total identified pixel area (TP), fitting circle amount (FC), average radius of the fitting circle (RC) and small polygon pixel area (SP). A...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Potential yield prediction model; Image processing; Mobile phone application development; Orchard precision management.
Ano: 2018 URL:
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