Maize Yield Prediction with Machine Learning, Spectral Variables and Irrigation Management.
Fábio Henrique Rojo BaioDthenifer Cordeiro SantanaLarissa Pereira Ribeiro TeodoroIzabela Cristina de OliveiraRicardo GavaJoão Lucas Gouveia de OliveiraCarlos Antonio da Silva JuniorPaulo Eduardo TeodoroLuciano Shozo ShiratsuchiPublished in: Remote. Sens. (2023)
Keyphrases
- machine learning
- precision agriculture
- prediction accuracy
- linear prediction
- management system
- demand forecasting
- prediction algorithm
- target variable
- water resources
- quality control
- prediction error
- active learning
- computer vision
- explanation based learning
- variable selection
- machine learning algorithms
- artificial intelligence
- information management
- data mining
- text classification
- decision making
- model selection
- information systems
- statistical methods
- feature selection
- inductive learning
- knowledge management
- computational intelligence
- hyperspectral imagery
- natural language processing
- information extraction
- knowledge representation
- learning algorithm
- protein secondary structure prediction
- decision trees
- multispectral images
- network management
- historical data
- learning tasks
- machine learning methods
- random variables
- knowledge acquisition