Journal: Plant-Environment Interactions

Article Title: An intelligent system for determining the degree of tree bark beetle damage based on the use of generative‐adversarial neural networks

doi: 10.1002/pei3.70015

Figure Lengend Snippet: RGB and multispectral images of a healthy tree.

Article Snippet: To obtain a set of multispectral images of trees, 3 multispectral orthomosaics of the territory were used (Figure ) (in this figure, red dots indicate labeled trees from the provided dataframe): These images were collected using a Phantom 4 Pro V2.0 drone with a Micasense RedEdge M multispectral camera.

Techniques:

Journal: Plant-Environment Interactions

Article Title: An intelligent system for determining the degree of tree bark beetle damage based on the use of generative‐adversarial neural networks

doi: 10.1002/pei3.70015

Figure Lengend Snippet: RGB and multispectral images of an affected tree.

Article Snippet: To obtain a set of multispectral images of trees, 3 multispectral orthomosaics of the territory were used (Figure ) (in this figure, red dots indicate labeled trees from the provided dataframe): These images were collected using a Phantom 4 Pro V2.0 drone with a Micasense RedEdge M multispectral camera.

Techniques:

Journal: Plant-Environment Interactions

Article Title: An intelligent system for determining the degree of tree bark beetle damage based on the use of generative‐adversarial neural networks

doi: 10.1002/pei3.70015

Figure Lengend Snippet: RGB and multispectral images of a dead tree.

Article Snippet: To obtain a set of multispectral images of trees, 3 multispectral orthomosaics of the territory were used (Figure ) (in this figure, red dots indicate labeled trees from the provided dataframe): These images were collected using a Phantom 4 Pro V2.0 drone with a Micasense RedEdge M multispectral camera.

Techniques: