Predicting the Normalized Difference Vegetation Index (NDVI) by training a crop growth model with historical data.
Andrés BergerGuillermo EttlinChristopher QuinckePablo Rodríguez-BoccaPublished in: Comput. Electron. Agric. (2019)
Keyphrases
- historical data
- growth model
- multispectral
- normalized difference vegetation index
- data mining techniques
- remotely sensed data
- land cover
- remote sensing data
- demand forecasting
- remote sensing
- stream data
- training set
- supervised learning
- neural network
- predictive model
- image processing
- high resolution
- data mining
- databases
- data sets