Characterized by a predominantly agricultural landscape, including rice paddy, agricultural land, and scattered forest, the Chrey Bak catchment of the Tonle Sap Lake, Cambodia, is experiencing challenges such as deforestation and land conversion, which negatively impact mineral alteration sources, land management, and ecosystems. The current study uses satellite data (Sentinel 2, Landsat-8 OLI, and ASTER) to detect changes in mineral alteration (
This study aims to analyze the differences of each satellite product and their responses between the dry and rainy seasons by investigating seasonal floods and spectral indices based on Hierarchical Split-Based Approach (HBSA) from Sentinel-1and Sentienl-2 imagery, respectively, together with Climate Hazards group Infrared Precipitation with Stations (CHIRPS) precipitation data. The spectral indices calculated from Sentinel-2 images at different
Rice plays a crucial part in Cambodia’s agricultural landscape, serving as a primary food source for the population. The limited water in dry season becoming an increasing concern in the region,optimizing irrigation methods is to modify water consumption in rice production. This study was conducted to investigate the effect of three irrigation methods on the grain yield and water use efficiency of rice crops in soil columns under a nethouse with
Efficient public transportation systems are critical for urban mobility, requiring precise bus arrival time predictions to enhance service quality and passenger satisfaction. This study thoroughly investigates predictive modeling utilizing machine learning methodologies to forecast bus arrival times along a specific route in Phnom Penh, Cambodia. The dataset contains historical bus arrival data from a specific route, including journey duration, h
Despite significant improvement in education levels within Cambodia over recent decades, high school failure rates remain a persistent concern. A quick intervention through the usage of digital transformation is needed. Business Intelligence (BI) and Educational Data Mining (EDM), which offer powerful tools for extracting valuable insights from raw data, hold notable potential to address this challenge within the education domain. This research i
The increasing population and the need for more food have made demands on water resources due to crop production in Cambodia. Rice (Oryza sativa. L) is widely cultivated in Cambodia, but it consumes considerably more water than any other crop. In the context of water scarcity due to global climate change and limited water sources, rice cultivation in Cambodia has been worsened by drought and no water for irrigation. the strategies for preventing
The Scientific Day event has been organized and hosted annually by Institute of Technology of Cambodia (ITC). The event has been initially organized as a local forum and it was transformed into an international forum in 2022 for academics, researchers, engineers, and industries to discuss and disseminate recent research finding, development, innovation and Science, Technology, Engineering and Mathematics (STEM) in order to achieve the sustainabl
For Hydrological and Meteorological research over Cambodia with sparsed rainfall gauges, reliable rainfall is essential. In this study,12 gridded rainfall datasets with a reasonable spatial resolution including Asian Precipitation Highly Resolved Observational Data Integration Towards Evaluation (APHRODITE), Gridded rainfall Observational Dataset for precipitation and temperature Southeast Asia (SA-OBS), Integrated Multi-gridded rainfall Retrieva
Time series forecasting is a well-established research domain, particularly in finance and econometrics, with a multitude of methods and algorithms proposed to achieve accurate future trend predictions. This study aims to examine the effectiveness of two popular models, ARIMA and LSTM, for predicting trends in gold prices in finance and econometrics. Monthly global gold prices from January 2010 to December 2022 are analyzed, with a training set f
