Empirical model for forecasting sugarcane yield on a local scale in Brazil using Landsat imagery and random forest algorithm.
Ana Cláudia dos Santos LucianoMichelle Cristina Araújo PicoliDaniel Garbellini DuftJansle Vieira RochaManoel Regis Lima Verde LealGuerric le MairePublished in: Comput. Electron. Agric. (2021)
Keyphrases
- random forest
- recognition algorithm
- decision tree learning algorithms
- classification algorithm
- optimization algorithm
- learning algorithm
- similarity measure
- genetic algorithm
- random forests
- high dimensional
- high resolution
- support vector machine svm
- data mining
- machine learning algorithms
- decision trees
- optimization method
- satellite images
- machine learning