Low-cost open-source recorders and ready-to-use machine learning approaches provide effective monitoring of threatened species.
Robert Manzano-RubioGerard BotaLluís BrotonsEduardo Soto-LargoCristian Pérez-GranadosPublished in: Ecol. Informatics (2022)
Keyphrases
- machine learning approaches
- open source
- low cost
- real time
- machine learning methods
- open source software
- data acquisition
- monitoring system
- machine learning
- machine learning algorithms
- machine learning models
- source code
- digital camera
- early warning
- case study
- wireless sensor networks
- question classification
- data mining methods
- low power
- open source projects
- predator prey
- highly efficient
- decision support
- nearest neighbor
- preprocessing
- information retrieval
- neural network