Litcius/Paper detail

Synthetic Minority Over-sampling TEchnique (SMOTE) and Logistic Model Tree (LMT)-Adaptive Boosting algorithms for classifying imbalanced datasets of nutrient and chlorophyll sufficiency levels of oil palm (Elaeis guineensis) using spectroradiometers and unmanned aerial vehicles

Amiratul Diyana Amirruddin, Farrah Melissa Muharam, Mohd Hasmadi Ismail, Ngai Paing Tan, Mohd Firdaus Ismail

2022Computers and Electronics in Agriculture64 citationsDOIOpen Access PDF

Topics & Concepts

SpectroradiometerElaeis guineensisCanopyMachine learningAgricultural engineeringRemote sensingComputer scienceEnvironmental scienceArtificial intelligencePalm oilEngineeringBotanyAgroforestryBiologyReflectivityPhysicsOpticsGeologySpectroscopy and Chemometric AnalysesRemote Sensing in AgricultureOil Palm Production and Sustainability
Synthetic Minority Over-sampling TEchnique (SMOTE) and Logistic Model Tree (LMT)-Adaptive Boosting algorithms for classifying imbalanced datasets of nutrient and chlorophyll sufficiency levels of oil palm (Elaeis guineensis) using spectroradiometers and unmanned aerial vehicles | Litcius