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A comprehensive review of crop yield prediction using machine learning approaches with special emphasis on palm oil yield prediction
An early and reliable estimation of crop yield is essential in quantitative and financial
evaluation at the field level for determining strategic plans in agricultural commodities for …
evaluation at the field level for determining strategic plans in agricultural commodities for …
Energy price prediction using data-driven models: A decade review
The accurate prediction of energy price is critical to the energy market orientation, and it can
provide a reference for policymakers and market participants. In practice, energy prices are …
provide a reference for policymakers and market participants. In practice, energy prices are …
A prediction approach for stock market volatility based on time series data
Time series analysis and forecasting is of vital significance, owing to its widespread use in
various practical domains. Time series data refers to an ordered sequence or a set of data …
various practical domains. Time series data refers to an ordered sequence or a set of data …
[HTML][HTML] Towards early response to desert locust swarming in eastern Africa by estimating timing of hatching
Desert locust (Schistocerca gregaria) plagues threaten agricultural production, food security
and the environment across Africa, the Middle East, and Southwest Asia. Control methods …
and the environment across Africa, the Middle East, and Southwest Asia. Control methods …
A novel stochastic fuzzy time series forecasting model based on a new partition method
Fuzzy Time Series (FTS) models are commonly used in time series forecasting, where they
do not require any statistical assumptions on time series data. FTS models can handle data …
do not require any statistical assumptions on time series data. FTS models can handle data …
Enhancing operational efficiency of insurance companies: a fuzzy time series approach to loss ratio forecasting in the Egyptian market
This article analyses the crucial significance of loss ratio (LR) evaluation in assessing the
operational efficiency of insurance companies. Fuzzy time series (FTS) models are effective …
operational efficiency of insurance companies. Fuzzy time series (FTS) models are effective …
[PDF][PDF] Crude palm oil price forecasting in Malaysia: An econometric approach
This paper aims to forecast the performance of crude palm oil price (CPO) in Malaysia by
comparing several econometric forecasting techniques, namely Autoregressive Distributed …
comparing several econometric forecasting techniques, namely Autoregressive Distributed …
Automatic detection and calculation of palm oil fresh fruit bunches using faster R-CNN
Indonesia is one of the countries with the largest industry of crude palm oil (CPO) in the
world. During 2013-2017, the growth of the area of oil palm plantations in Indonesia …
world. During 2013-2017, the growth of the area of oil palm plantations in Indonesia …
A developed short-term electricity price and load forecasting method based on data processing, support vector machine, and virus colony search
A Ghasemi-Marzbali - Energy Efficiency, 2020 - Springer
Surely, electricity market participants need an accurate estimate for the price and load
signals to properly manage their programs to increase their profits. Regarding the two-way …
signals to properly manage their programs to increase their profits. Regarding the two-way …
[HTML][HTML] Using a knowledge representation logic to estimate the availability of Imbrasia epimethea (Lepidoptera: Saturniidae), an important edible insect in …
KM Agboka, JTC Ouaba, F Meutchieye… - Ecological …, 2024 - Elsevier
Based on monthly abundance patterns, we model the density of Imbrasia epimethea (Drury,
1773), an important edible insect in Africa. Categorical data was collected from various …
1773), an important edible insect in Africa. Categorical data was collected from various …