Journal Article10.1007/s42405-023-00617-0
Deep Learning Performance Comparison Using Multispectral Images and Vegetation Index for Farmland Classification
Semo Kim,Seoung Hun Bae,Min-Kwan Kim,Lae-Hyong Kang +3 more
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TL;DR: An algorithm was used to remove unnecessary images based on each image's GPS location and altitude, reducing the total number of images to 8930, and this preprocessing step improved the image mapping speed by about 8.3 times compared to the original data image mapping speed.
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About: This article is published in International Journal of Aeronautical and Space Sciences. The article was published on 27 Jun 2023. The article focuses on the topics: Multispectral image & Computer science.
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Plant species classification using deep convolutional neural network
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TL;DR: In this article, a narrowband Mini-MCA6 multispectral camera and a sunshine-sensor-equipped broadband Sequoia multi-spectral camera were mounted on a multi-rotor micro-UAV and used to simultaneously collect multi-spectral imagery and soil-plant analysis development (SPAD) values of maize at multiple sampling points in the field, in addition to the spectral reflectances of six standard diffuse reflectance panels with different reflectance values (45, 20, 30, 40, 60% and 65%) The accuracies of the reflect
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