Water status estimation of cherry trees using infrared thermal imagery coupled with supervised machine learning modeling.
Marcos Carrasco-BenavidesClaudia Gonzalez ViejoEden Jane TongsonAntonella Baffico-HernándezCarlos Ávila-SánchezMarco MoraSigfredo FuentesPublished in: Comput. Electron. Agric. (2022)
Keyphrases
- infrared
- supervised machine learning
- infrared images
- multi sensor
- target detection
- target detection and tracking
- manually annotated
- infrared imagery
- thermal infrared
- focal plane
- automatic target recognition
- machine learning
- nonsubsampled contourlet transform
- electro optical
- supervised learning
- active learning
- multiscale
- decision trees
- natural language processing
- visible spectrum
- infrared video
- information extraction
- learning process
- training data
- thermal imaging
- data mining