Dae Yeong Kang

According to our database, Dae Yeong Kang authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2025

Peduncle Detection of Ripe Strawberry to Localize Picking Point Using DF-Mask R-CNN and Monocular Depth.

Niraj Tamrakar, Bhola Paudel, Sijan Karki, Nibas Chandra Deb, Elanchezhian Arulmozhi, Junghoo Kook, Myeong Yong Kang, Dae Yeong Kang, Oluwasegun Moses Ogundele, Bikash Nakarmi, Moon Byung-Eun, Hyeon-Tae Kim

IEEE Access, 2025

2024

Development and Validation of Low-Cost Indoor Air Quality Monitoring System for Swine Buildings.

Elanchezhian Arulmozhi, Anil Bhujel, Nibas Chandra Deb, Niraj Tamrakar, Myeong Yong Kang, Junghoo Kook, Dae Yeong Kang, Eun Wan Seo, Hyeon-Tae Kim

Sensors, June, 2024

Modeling ammonia concentration in swine building using biophysical data and machine learning algorithms.

Jayanta Kumar Basak, Bhola Paudel, Nibas Chandra Deb, Dae Yeong Kang, Myeong Yong Kang, Sujit Kumar Roy, Shihab Ahmad Shahriar, Hyeon-Tae Kim

Comput. Electron. Agric., 2024

2023

Prediction of body composition in growing-finishing pigs using ultrasound based back-fat depth approach and machine learning algorithms.

Jayanta Kumar Basak, Bhola Paudel, Nibas Chandra Deb, Dae Yeong Kang, Byeong Eun Moon, Shihab Ahmad Shahriar, Hyeon-Tae Kim

Comput. Electron. Agric., October, 2023

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

Jayanta Kumar Basak, Bhola Paudel, Shihab Ahmad Shahriar, Nibas Chandra Deb, Dae Yeong Kang, Hyeon-Tae Kim

Comput. Electron. Agric., July, 2023