This paper presents work on developing a software system for predicting crop yield from climate and plantation data. At the core of this system is a method for unsupervised partitioning of data for finding spatio-temporal patterns in climate data using kernel methods which offer strength to deal with complex data. For this purpose, a robust weighted kernel k-means algorithm incorporating spatia...

Oil palm supplies >30% of world vegetable oil production1. Plantation expansion is occurring throughout the tropics, predominantly in Indonesia, where forests with heterogeneous carbon stocks undergo high conversion rates2–4. Quantifying oil palm’s contribution to global carbon budgets therefore requires refined spatio-temporal assessments of land cover converted to plantations5,6. Here, we rep...

<p class="E-JOURNALAbstractBodyEnglish">PT XYZ Belawan has a kernel crushing plant unit that produces Crude Palm Kernel Oil (CPKO) with 700 tons/day capacity. processing is carried out in two pressing stages. The first stage or press oil and cake, while the second meal. meal still contains 7-8% of content. This study aimed to determine amount CPKO yield, content, losses during palm proces...

The waste shell was utilized as a bioresource of calcium oxide (CaO) in catalyzing a transesterification to produce biodiesel (methyl ester). The economic and environmen-friendly catalysts were prepared by a calcination method at 700-1,000°C for 4 h. The heterogeneous catalysts were characterized by X-ray diffraction (XRD), X-ray fluorescence (XRF), scanning electron microscopy (SEM), and the B...

Abstract The valorisation of oil palm solid wastes is always a fascinating subject. industries produce millions tons these high lignocellulose materials in empty fruit bunch, kernel shells, fronds, and others. technological considerations are based on selecting the best pretreatment methods, fermentation, chemical processing technologies. Nevertheless, selected method faces multiple concerns, s...

Organic-rich substrates from organic waste effluents are ideal sources for hydrogen production based on the circular economy concept. In this study, a data-driven approach was employed in modeling palm oil mill and activated sludge waste. Seven models built support vector machine (SVM) Gaussian process regression (GPR) were of sources. The SVM incorporated with linear kernel function (LSVM), qu...

Nowadays, renewable energy is a reliable solution for addressing global warming and fossil fuel depletion issues. Malaysia has an abundance of biomass resources currently underutilized to generate electricity, such as palm oil waste. Wastes from mill plant, empty fruit bunch (EFB), mesocarp fibre (PMF), kernel shell (PKS), are worth be investigated possible raw material co-firing with coal. The...