Phan Truong Khanh

Phan Truong Khanh - Vice Dean, Faculty of Engineering-Technology-Environment, An Giang University. He has 15 years of experience in environmental and natural resource management such as: Identify vegetation structure, biomass and carbon stocks of wetlands, building of vegetation cover maps by using remote sensing and GIS. Moreover, He also has done researches on water balance for floodplains, calculating water needs for agriculture, interpreting remote sensing images to estimate evapotranspiration for crops. Determining the flooded area for the delta or the area of land was affected by saltwater intrusion to serve crop planning, towards smart and sustainable agriculture.

Publications

Engineering, Geology, Climate, and Socioeconomic Aspects' Implications on Machine Learning-Dependent Water Pipe Collapse Prediction
Engineering, Geology, Climate, and Socioeconomic Aspects' Implications on Machine Learning-Dependent Water Pipe Collapse Prediction
Phan Truong Khanh, Tran Thi Hong Ngoc, Sabyasachi Pramanik. © 2024. 29 pages.
From the impact of several corporeal, mechanized, ecological, and civic conditions, underground water pipelines degrade. A motivated administrative approach of the water supply...
AI-Driven Solution Selection: Prediction of Water Quality Using Machine Learning
AI-Driven Solution Selection: Prediction of Water Quality Using Machine Learning
Tran Thi Hong Ngoc, Phan Truong Khanh, Sabyasachi Pramanik. © 2024. 15 pages.
With the fast growth of aquatic data, machine learning is essential for data analysis, categorization, and prediction. Data-driven models using machine learning may effectively...
AI-Decision Support System: Engineering, Geology, Climate, and Socioeconomic Aspects' Implications on Machine Learning
AI-Decision Support System: Engineering, Geology, Climate, and Socioeconomic Aspects' Implications on Machine Learning
Phan Truong Khanh, Tran Thi Hong Ngoc, Sabyasachi Pramanik. © 2024. 22 pages.
From the impact of several corporeal, mechanized, ecological, and civic conditions, underground water pipelines degrade. A motivated administrative approach of the water supply...
Prediction of Water Quality Using Machine Learning
Prediction of Water Quality Using Machine Learning
Tran Thi Hong Ngoc, Phan Truong Khanh, Sabyasachi Pramanik. © 2024. 20 pages.
With the fast growth of aquatic data, machine learning is essential for data analysis, categorization, and prediction. Data-driven models using machine learning may effectively...
Prediction of Water Quality Using Machine Learning
Prediction of Water Quality Using Machine Learning
Tran Thi Hong Ngoc, Phan Truong Khanh, Sabyasachi Pramanik. © 2024. 14 pages.
With the fast growth of aquatic data, machine learning is essential for data analysis, categorization, and prediction. Data-driven models using machine learning may effectively...
Engineering, Geology, Climate, and Socioeconomic Aspects' Implications on Machine Learning-Dependent Water Pipe Collapse Prediction
Engineering, Geology, Climate, and Socioeconomic Aspects' Implications on Machine Learning-Dependent Water Pipe Collapse Prediction
Phan Truong Khanh, Tran Thi Hong Ngoc, Sabyasachi Pramanik. © 2024. 26 pages.
From the impact of several corporeal, mechanized, ecological, and civic conditions, underground water pipelines degrade. A motivated administrative approach of the water supply...
Smart Agriculture Using a Soil Monitoring System
Smart Agriculture Using a Soil Monitoring System
Tran Thi Hong Ngoc, Phan Truong Khanh, Sabyasachi Pramanik. © 2023. 21 pages.
Information that is current and accurate is essential for resource optimization. Sensors in agriculture identify the soil's nutrients, moisture, organic matter, and clay....
Future of Smart Agriculture Techniques and Applications
Future of Smart Agriculture Techniques and Applications
Phan Truong Khanh, Tran Thi Hong Ngoc, Sabyasachi Pramanik. © 2023. 14 pages.
The world's oldest and most active profession is agriculture. There is an urgent need for society as a whole to think creatively and discover new effective answers to...