Grapevine variety identification using "Big Data" collected with miniaturized spectrometer combined with support vector machines and convolutional neural networks.
Armando M. FernandesAndrei B. UtkinJosé Eiras-DiasJorge CunhaJosé C. SilvestrePedro Melo-PintoPublished in: Comput. Electron. Agric. (2019)
Keyphrases
- big data
- convolutional neural networks
- cloud computing
- data analysis
- data processing
- big data analytics
- data management
- social media
- high volume
- data intensive
- massive data
- convolutional network
- data science
- data visualization
- business intelligence
- real world
- vast amounts of data
- infrared
- data stores
- relational databases
- unstructured data
- knowledge discovery
- health informatics
- data intensive computing
- databases
- social computing
- hyperspectral
- data warehousing
- huge data
- statistical learning
- decision making
- data sets