Tae In Ahn

According to our database, Tae In Ahn authored at least 8 papers between 2018 and 2026.

Collaborative distances:

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

2026

Design and Evaluation of an LLM-Based Knowledge Graph System for Photosynthesis Research.

Seungri Yoon, Tae In Ahn

IEEE Access, 2026

2025

Data-driven Prediction of Species-Specific Plant Responses to Spectral-Shifting Films from Leaf Phenotypic and Photosynthetic Traits.

Jun Hyeun Kang, Jung-Eek Son, Tae In Ahn

CoRR, November, 2025

Knowledge Synthesis of Photosynthesis Research Using a Large Language Model.

Seungri Yoon, Woosang Jeon, Sanghyeok Choi, Taehyeong Kim, Tae In Ahn

CoRR, February, 2025

Plant-specific crop evapotranspiration estimation system for greenhouse tomatoes using convolutional neural network and rail-based monitoring device.

Min-Seok Gang, Hak-Jin Kim, Sung Kwon Park, Woo-Jae Cho, Taehyeong Kim, Tae In Ahn, Joon Yong Kim, Kue-Seung Hwang

Comput. Electron. Agric., 2025

Development of nutrient management system based on ion-equivalent concentration ratio and ion monitoring to maintain ionic balance in closed hydroponic solution.

Min-Seok Gang, Hak-Jin Kim, Tae In Ahn, Woo-Jae Cho, Sang-Hyun Lee, Ju Young Lee, Ji-Eun Hwang

Comput. Electron. Agric., 2025

2024

Melon Fruit Detection and Quality Assessment Using Generative AI-Based Image Data Augmentation.

Seungri Yoon, Yunseong Cho, Tae In Ahn

CoRR, 2024

2022

Non-Destructive Monitoring of Crop Fresh Weight and Leaf Area with a Simple Formula and a Convolutional Neural Network.

Taewon Moon, Dongpil Kim, Sungmin Kwon, Tae In Ahn, Jung-Eek Son

Sensors, 2022

2018

On-site ion monitoring system for precision hydroponic nutrient management.

Woo-Jae Cho, Hak-Jin Kim, Dae-Hyun Jung, Dong-Wook Kim, Tae In Ahn, Jung-Eek Son

Comput. Electron. Agric., 2018