Farrah Melissa Muharam

Orcid: 0000-0003-3479-9570

According to our database1, Farrah Melissa Muharam authored at least 12 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Trigonometric-Euclidean-Smoother Interpolator (TESI) for continuous time-series and non-time-series data augmentation for deep neural network applications in agriculture.
Comput. Electron. Agric., March, 2023

Ensemble and single algorithm models to handle multicollinearity of UAV vegetation indices for predicting rice biomass.
Comput. Electron. Agric., February, 2023

2022
ORYZA (v3) rice crop growth modeling for MR269 under nitrogen treatments: Assessment of cross-validation on parameter variability.
Comput. Electron. Agric., 2022

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 (<i>Elaeis guineensis</i>) using spectroradiometers and unmanned aerial vehicles.
Comput. Electron. Agric., 2022

2021
Modified Linear Scaling and Quantile Mapping Mean Bias Correction of MODIS Land Surface Temperature for Surface Air Temperature Estimation for the Lowland Areas of Peninsular Malaysia.
Remote. Sens., 2021

2020
Early Detection of Ganoderma boninense in Oil Palm Seedlings Using Support Vector Machines.
Remote. Sens., 2020

Hyperspectral spectroscopy and imbalance data approaches for classification of oil palm's macronutrients observed from frond 9 and 17.
Comput. Electron. Agric., 2020

Hyperspectral remote sensing for assessment of chlorophyll sufficiency levels in mature oil palm (<i>Elaeis guineensis</i>) based on frond numbers: Analysis of decision tree and random forest.
Comput. Electron. Agric., 2020

2018
Satellite Rainfall (TRMM 3B42-V7) Performance Assessment and Adjustment over Pahang River Basin, Malaysia.
Remote. Sens., 2018

2017
Phenology and classification of abandoned agricultural land based on ALOS-1 and 2 PALSAR multi-temporal measurements.
Int. J. Digit. Earth, 2017

2015
The Use of Multi-Temporal Landsat Imageries in Detecting Seasonal Crop Abandonment.
Remote. Sens., 2015

Estimating Cotton Nitrogen Nutrition Status Using Leaf Greenness and Ground Cover Information.
Remote. Sens., 2015


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