Jayanta Kumar Basak

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Research Professor

Gyeongsang National University

South Korea

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Recent Grants

Grant: Close

Development of a Non-destructive Analysis System for Livestock Biometric Information Based on Bioelectrical Impedance Analysis and Artificial Intelligence Techniques for Precision Livestock Farming

Open Date: 2023-01-01

Close Date: 2023-12-01

Grant: Close

Development of a Non-destructive Analysis System for Livestock Biometric Information Based on Bioelectrical Impedance Analysis and Artificial Intelligence Techniques for Precision Livestock Farming

Open Date: 2022-01-01

Close Date: 2022-12-01

Grant: Close

Development of a Non-destructive Analysis System for Livestock Biometric Information Based on Bioelectrical Impedance Analysis and Artificial Intelligence Techniques for Precision Livestock Farming

Open Date: 2021-09-01

Close Date: 2021-12-01

Grant: Close

Development of a Smart Livestock System Based on Biometric and Environmental Information

Open Date: 2021-01-01

Close Date: 2021-12-01

Grant: Close

Development of a Smart Livestock System based on Biometric and Environmental Information

Open Date: 2020-01-01

Close Date: 2020-12-01

Articles (12)

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

Collaborators (2)

Hyeon Tae Kim

Gyeongsang National University

SOUTH KOREA

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Shihab Ahmad Shahriar

University of Houston

UNITED STATES

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Jayanta Kumar Basak

Research Interests

Explore related searches

Contact this professor

Recent Grants

Articles (12)

Classification of strawberry ripeness stages using machine learning algorithms and colour spaces

Applications of artificial neural networks and multiple linear regression algorithms in modelling of pig’s body weight

Prediction of drinking water requirements by applying statistical and machine learning models in growing-finishing stage of pigs

Emission of CO2 in a livestock barn based on diurnal activities and various growing stages of pigs

Application of Hollow Fiber Membrane for the Separation of Carbon Dioxide from Atmospheric Air and Assessment of Its Distribution Pattern in a Greenhouse

Comparative study of strawberry growth and fruit quality parameters in horizontal and vertical production systems

Assessment of Load on Threshing Bar During Soybean Pod Threshing

Non-Destructive Estimation of Fruit Weight of Strawberry Using Machine Learning Models

Properties of paper-based biodegradable pots for growing seedlings

Prediction of Total Soluble Solids and pH of Strawberry Fruits Using RGB, HSV and HSL Colour Spaces and Machine Learning Models

Applicability of statistical and machine learning–based regression algorithms in modeling of carbon dioxide emission in experimental pig barns

Influence of operational properties and material’s physical characteristics on mechanical cutting properties of corn stalks

Collaborators (2)

Hyeon Tae Kim

Shihab Ahmad Shahriar

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