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| Ni, Zhijiang; Burks, Thomas F.. |
| Three dimensional (3D) reconstruction of the plant or tree canopy is an important step in order to measure canopy geometry, such as, height, width, volume, and leaf cover area. In this research, binocular stereo vision was used to recover the 3D information of the canopy. A revised camera calibration method was provided to calibrate the cameras in world coordinate system. Only two images were used to realize a dense reconstruction. These two images were firstly rectified to make sure the corresponding feature points in the left and right images were on the same horizontal line. An efficient large scale stereo matching (ELAS) algorithm was used to find the disparity map. The plant or tree canopy was finally reconstructed based on these calibrated camera... |
| Tipo: Info:eu-repo/semantics/article |
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| Ano: 2018 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/4358 |
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| Bulanon, Duke M.; Burks, Thomas F.; Kim, Dae G.; Ritenour, Mark A.. |
| A recently discovered fungal disease called citrus black spot, is threatening the Florida citrus industry. The fungal disease, which causes cosmetic lesions on the rind of the fruit and can cause a tree to drop its fruit prematurely, could possibly lead to a ban on sales of fresh Florida citrus in other citrus-producing states. The objective of this research is to develop a multispectral imaging algorithm to detect citrus black spots based on hyperspectral image data. Hyperspectral images of citrus fruits (Valencias) were collected in the wavelength range of 480 nm to 950 nm. Five surface conditions were examined, citrus black spot, greasy spot, melanose, wind scar, and normal one. The first part of the image analysis determined the optimal... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Agricultural Engineering citrus disease; Multispectral imaging; Hyperspectral imaging. |
| Ano: 2013 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/2382 |
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