UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture.
Vittorio MazziaLorenzo CombaAleem KhaliqMarcello ChiabergePaolo GayPublished in: Sensors (2020)
Keyphrases
- machine learning
- precision agriculture
- remote sensing
- data mining
- pattern recognition
- database
- machine learning algorithms
- remotely sensed data
- machine learning methods
- satellite data
- path planning
- image analysis
- decision trees
- remotely sensed
- knowledge acquisition
- inductive learning
- change detection
- remote sensing data
- land cover
- artificial intelligence
- natural language processing
- computational intelligence
- hyperspectral
- land use change
- orbit determination
- remote sensing images
- machine learning approaches
- indexing method
- remotely sensed images
- index structure
- data sets
- learning algorithm
- feature selection
- database systems
- high resolution
- knowledge discovery
- supervised learning
- dynamic environments
- supervised classification
- inverted index
- information extraction
- knn
- data driven
- knowledge representation
- model selection
- expert systems
- inductive logic programming
- learning tasks
- landsat tm
- multispectral