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The 15th Scientific day : Bridging Science, Engineering, Technology & Industry for Cambodia's Growth
Published: July 31,2026Comparison Analysis of Deep Learning and Tree-Based Homogeneous Ensemble Learning Predictive Models on the KHR/USD Daily Official Exchange Rate
Published: July 31,2026Comparing Time Series, Machine Learning, and Deep Learning Models for Paddy Rice Price Forecasting in Battambang Province, Cambodia
Published: July 31,2026The Forecasting for Cambodia’s Rice Production Using Multiple Linear Regression and Tree – Based Ensemble Learning Methods
Published: July 31,2026From Educational Model to Achievements - Classifying Post-Graduate Success with Machine Learning
Published: July 31,2026Analysis on Machine Learning Models for Imbalanced Data Problem in Payment Fraud Detection
Published: July 31,2026A Computational Approach to Labor Market Analytics: Analyzing Skill Trends in Cambodia Using an LLM-Based Pipeline
Published: July 31,2026Recognizing Khmer Handwritten Digits with the Power of Sequential RNNs
Published: July 31,2026KVerifyID: A Hybrid Multimodal Approach for Khmer Online Writer Verification
Published: July 31,2026Effect of Different Irrigation Methods on Water Use Efficiency in Rice Soil Column Test
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1. Faculty of Hydrology and Water Resources Engineering, Institute of Technology of Cambodia, Russian Federation Blvd., P.O. Box 86, Phnom Penh, Cambodia
Received: September 12,2023 / Revised: January 28,2024 / / Accepted: March 25,2024 / Available online: April 30,2025
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 glass roof. A field experiment was conducted at the Cambodia Agriculture Research and Development Institute (CARDI), Cambodia. Rice was planted in February 2023 under different three irrigation methods. Three irrigation regimes were examined during the growing period as follows: shallow deep shallow irrigation (T1), shallow frequency irrigation (T2),and continuous soil field capacity with irrigation depth at 10 mm daily (T3). Plant parameter and water amount data were collected during the growing period to evaluate the total yield and water use efficiency (WUE) of rice. The total average irrigation depth of different irrigation methods were 1050.67, 830.69 and 616.8 mm for T1, T2 and T3,repsepectively. According to results of effect on grain yield and WUE were found significant difference. Both grain yield and WUE of T1 treatment obtained the highest value followed by T2,and T3 treatment, respectively.