งานวิจัยเด่นของหลักสูตร:

• Machine learning-based prediction of nutritional status in oil palm leaves using proximal multispectral images.
• Evaluation of informative spectral wavelengths for estimating soluble solids content in sugarcane billets.
• Development of automatic tuning for combined preprocessing and hyperparameters of machine learning and its application to NIR spectral data of coconut milk adulteration.
• Near-Infrared Spectroscopy Modeling of Combustion Characteristics in Chip and Ground Biomass from Fast-Growing Trees and Agricultural Residue.
• NIR Spectroscopy as an Alternative to Thermogravimetric Analyzer for Biomass Proximate Analysis: Comparison of Chip and Ground Biomass Models.
• Classification of the crosslink density level of para rubber thick film of medical glove by using near-infrared spectral data.
• Thermochemical treatment of spent coffee grounds via torrefaction: A statistical evidence of biochar properties similarity between inert and oxidative conditions.
• A thermogravimetric assessment of eco-friendly biochar from oxidative torrefaction of spent coffee grounds: Combustion behavior, kinetic parameters, and potential emissions.
• The influence of processing parameters of parboiled rice on its physiochemical and texture properties.
• Effects of vibration, vacuum, and material thickness on infrared drying of Cissus quadrangularis Linn.