A
PROFILE
Laman Web Staf UPM
PROF. MADYA DR. NAZMI BIN MAT NAWI
KETUA JABATAN
JABATAN KEJURUTERAAN BIOLOGI DAN PERTANIAN
nazmimat@upm.edu.my
nazmimat
BM
EN

PROFESIONAL

NAMA :
(Prof. Madya Dr.) Nazmi Bin Mat Nawi
JAWATAN :
Ketua Jabatan
ENTITI :
Jabatan Kejuruteraan Biologi Dan Pertanian


PENERBITAN
2025:
Integrating piecewise and symbolic regression with remote sensing data for spatiotemporal analysis of surface water total dissolved solids in the Karun River, Iran
2025:
The Opportunity of Advanced Technologies Utilization for Detecting Basal Stem Rot (BSR) In Palm Oil Plantation: A Review
2023:
Experimental Analysis of a Sensitive Plate for Grain Loss Monitoring System
2023:
Prediction and Classification of Chlorophyll Contents to Determine the Severity Levels of White Root Disease Infection on Rubber Leaves
2023:
Evaluation of Field Performance and Energy Consumption of a Medium-Sized Combine Harvester for Harvesting Glutinous Rice in Malaysia
2023:
Potential Application of Modern Agricultural Technologies in Cocoa Plantation – A Review
2023:
Effect of Maturity Stages on Physical Properties of Cocoa (Theobroma cacao L.) Pods
2022:
Prediction and classification of soluble solid contents to determine the maturity level of watermelon using visible and shortwave near infrared spectroscopy
2021:
Classification of Pesticide Residues in Cabbages Based on Spectral Data
2021:
Remote Sensing Agricultural Applications in Integrated Pest Management in Malaysia: A Literature Review
2021:
Effect of Different Scanning Distances on Estimation of Oil Content in Oil Palm Fruitlets using Visible Shortwave Near Infrared Spectroscopy
2021:
Determination of Tensile Properties for Twisted Fibre Bundles of Oil Palm Empty Fruit Bunch at Different Diameters
2021:
Prediction of Soluble Solids Content of Jackfruit from Skin Surface Using Spectroscopic Method
2021:
A Review of the In-Field Transporting Machines Currently Used in Oil Palm Plantations in Malaysia
2021:
Evaluation of Optimal Wavelet De-noising Parameters to Predict Nutrient Content in Oil Palm Leaves using Spectroradiometer
2021:
Comparison of Drying Performance between Large and Medium-Sized Mobile Dryers for In-field Drying of Grain Corn
2020:
Detection of deltamethrin in cabbages using visible shortwave near infrared spectroscopy
2020:
Performance of Mid-Size Combine Harvester of Grain Corn on the Field Efficiency and Energy Consumption at the Northern Johor of Malaysia
2020:
Adoption of IR4.0 in Agricultural Sector in Malaysia: Potential and Challenges
2019:
The effect of crop parameters on mechanical properties of oil palm fruitlets
2019:
Preliminary study to predict moisture content of jackfruit skin using shortwave near infrared spectroscopy
2019:
Field performance comparison of the combine harvesters utilized for rice harvesting in Malaysia
2018:
Determination of the Optimal Pre-processing Technique for Spectral Data of Oil Palm Leaves with Respect to Nutrient
2018:
Application of artificial neural network classification to determine nutrient content in oil palm leaves
2017:
Application of Spectroscopy for Nutrient Prediction of Oil Palm
2016:
Influence of different pre-processing methods in predicting sugarcane quality from near-infrared (NIR) spectral data
2014:
In-field measurement and sampling technologies for monitoring quality in the sugarcane industry: a review
2013:
Visible and shortwave near infrared spectroscopy for predicting sugar content of sugarcane based on a cross-sectional scanning method
2013:
Prediction and classification of sugar content of sugarcane based on skin scanning using visible and shortwave near infrared