Agrotechnology

Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan

Publications

• Research Article   
  Explainable Convolutional Neural Network Based Tree Species Classification Using Multispectral Images from an Unmanned Aerial Vehicle
  Author(s): Ling-Wei Chen, Pin-Hui Lee and Yueh-Min Huang*
  
  We seek to address labor shortages, in particular, the aging workforce of rural areas and thus facilitate agricultural management. The movement and operation of agricultural equipment in Taiwan is complicated by the fact that many commercial crops in Taiwan are planted on hillsides. For mixed crops in such sloped farming areas, the identification of tree species aids in agricultural management and reduces the labor needed for farming operations. General optical images collected by visible-light cameras are sufficient for recording but yield suboptimal results in tree species identification. Using a multispectral camera makes it possible to identify plants based on their spectral responses. We present a method for tree species classification using UAV visible light and multispectral imagery. We leverage the differences in spectral reflectance values between tree species and use near in.. View more»
  

  DOI: 10.35248/2168-9891.23.12.310

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