kazuhito sakai

Professor

University of the Ryukyus

Japan

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About

Professor Kazuhito Sakai is a faculty member at the University of the Ryukyus in Japan. His research primarily focuses on soil hydrology, agronomy, and environmental modeling, as evidenced by his recent publications on biodegradable polymers, sugarcane crop monitoring, and greenhouse gas emissions. Professor Sakai employs innovative methodologies, including machine learning and Gaussian process emulation, to enhance agricultural practices and sustainability.

Articles (7)

Year:

2024

Year:

2024

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Collaborators (1)

Kasun Bandara

University of Melbourne

AUSTRALIA

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kazuhito sakai

Research Interests

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Articles (7)

Evaluating the Effectiveness of the Biodegradable Superabsorbent Polymer (Fasal Amrit) on Soil Hydrological Properties: A Laboratory Rainfall Simulation Study

Evaluation of Sugarcane Crop Growth Monitoring Using Vegetation Indices Derived from RGB-Based UAV Images and Machine Learning Models

A Gas Diffusion Analysis Method for Simulating Surface Nitrous Oxide Emissions in Soil Gas Concentrations Measurement

Global Sensitivity Analysis of Key Parameters in the APSIMX-Sugarcane Model to Evaluate Nitrate Balance via Treed Gaussian Process

Examination of the Effectiveness of Controlled Release Fertilizer to Balance Sugarcane Yield and Reduce Nitrate Leaching to Groundwater

Towards Coupling of 1D and 2D Models for Flood Simulation—A Case Study of <i>Nilwala</i> River Basin, Sri Lanka

Global Optimization of Cultivar Trait Parameters in the Simulation of Sugarcane Phenology Using Gaussian Process Emulation

Collaborators (1)

Kasun Bandara

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kazuhito sakai

Research Interests

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Contact this professor

About

Articles (7)

Evaluating the Effectiveness of the Biodegradable Superabsorbent Polymer (Fasal Amrit) on Soil Hydrological Properties: A Laboratory Rainfall Simulation Study

Evaluation of Sugarcane Crop Growth Monitoring Using Vegetation Indices Derived from RGB-Based UAV Images and Machine Learning Models

A Gas Diffusion Analysis Method for Simulating Surface Nitrous Oxide Emissions in Soil Gas Concentrations Measurement

Global Sensitivity Analysis of Key Parameters in the APSIMX-Sugarcane Model to Evaluate Nitrate Balance via Treed Gaussian Process

Examination of the Effectiveness of Controlled Release Fertilizer to Balance Sugarcane Yield and Reduce Nitrate Leaching to Groundwater

Towards Coupling of 1D and 2D Models for Flood Simulation&mdash;A Case Study of <i>Nilwala</i> River Basin, Sri Lanka

Global Optimization of Cultivar Trait Parameters in the Simulation of Sugarcane Phenology Using Gaussian Process Emulation

Collaborators (1)

Kasun Bandara

Make your next move.

Towards Coupling of 1D and 2D Models for Flood Simulation—A Case Study of <i>Nilwala</i> River Basin, Sri Lanka