Suresh Neethirajan

University Research Chair and Associate Professor

Dalhousie University

Canada

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About

Dr. Suresh Neethirajan is a University Research Chair and Associate Professor at Dalhousie University in Canada. His research areas encompass the application of artificial intelligence in livestock farming, digital livestock farming ethics, and sensor technologies in animal health. He has published recent articles focusing on topics such as affective state recognition, automated tracking systems in poultry, and the use of depthwise separable architectures for classification in agricultural contexts.

Articles (10)

Year:

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

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2021

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2021

Collaborators (2)

Dong Seog Han

Professor

Kyungpook National University

SOUTH KOREA

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Hector Menendez

Assistant Professor

South Dakota State University

UNITED STATES

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Suresh Neethirajan

Research Interests

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Articles (10)

DISubNet: Depthwise Separable Inception Subnetwork for Pig Treatment Classification Using Thermal Data

The Significance and Ethics of Digital Livestock Farming

SOLARIA-SensOr-driven resiLient and adaptive monitoRIng of farm Animals

Measuring miRNA in Livestock Using Sensor Technologies: Challenges and Potential Approaches

Correction: Neethirajan, S. Affective State Recognition in Livestock—Artificial Intelligence Approaches. <i>Animals</i> 2022, <i>12</i>, 759

ASAS-NANP Symposium: Mathematical Modeling in Animal Nutrition: Limitations and potential next steps for modeling and modelers in the animal sciences

Affective State Recognition in Livestock—Artificial Intelligence Approaches

Automated Tracking Systems for the Assessment of Farmed Poultry.

Is Seeing Still Believing? Leveraging Deepfake Technology for Livestock Farming.

The Use of Artificial Intelligence in Assessing Affective States in Livestock.

Collaborators (2)

Dong Seog Han

Hector Menendez

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Suresh Neethirajan

Research Interests

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About

Articles (10)

DISubNet: Depthwise Separable Inception Subnetwork for Pig Treatment Classification Using Thermal Data

The Significance and Ethics of Digital Livestock Farming

SOLARIA-SensOr-driven resiLient and adaptive monitoRIng of farm Animals

Measuring miRNA in Livestock Using Sensor Technologies: Challenges and Potential Approaches

Correction: Neethirajan, S. Affective State Recognition in Livestock—Artificial Intelligence Approaches. <i>Animals</i> 2022, <i>12</i>, 759

ASAS-NANP Symposium: Mathematical Modeling in Animal Nutrition: Limitations and potential next steps for modeling and modelers in the animal sciences

Affective State Recognition in Livestock&mdash;Artificial Intelligence Approaches

Automated Tracking Systems for the Assessment of Farmed Poultry.

Is Seeing Still Believing? Leveraging Deepfake Technology for Livestock Farming.

The Use of Artificial Intelligence in Assessing Affective States in Livestock.

Collaborators (2)

Dong Seog Han

Hector Menendez

Make your next move.

Affective State Recognition in Livestock—Artificial Intelligence Approaches