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Tae In Ahn
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2020 – today
- 2026
[j5]Seungri Yoon, Tae In Ahn
:
Design and Evaluation of an LLM-Based Knowledge Graph System for Photosynthesis Research. IEEE Access 14: 9193-9200 (2026)- 2025
[j4]Min-Seok Gang
, Hak-Jin Kim
, Tae In Ahn, Woo-Jae Cho, Sang-Hyun Lee, Ju Young Lee, Ji-Eun Hwang:
Development of nutrient management system based on ion-equivalent concentration ratio and ion monitoring to maintain ionic balance in closed hydroponic solution. Comput. Electron. Agric. 237: 110588 (2025)
[j3]Min-Seok Gang
, Hak-Jin Kim
, Sung Kwon Park, Woo-Jae Cho, Taehyeong Kim, Tae In Ahn, Joon Yong Kim, Kue-Seung Hwang:
Plant-specific crop evapotranspiration estimation system for greenhouse tomatoes using convolutional neural network and rail-based monitoring device. Comput. Electron. Agric. 239: 111079 (2025)
[i3]Seungri Yoon, Woosang Jeon, Sanghyeok Choi, Taehyeong Kim, Tae In Ahn:
Knowledge Synthesis of Photosynthesis Research Using a Large Language Model. CoRR abs/2502.01059 (2025)
[i2]Jun Hyeun Kang, Jung-Eek Son, Tae In Ahn:
Data-driven Prediction of Species-Specific Plant Responses to Spectral-Shifting Films from Leaf Phenotypic and Photosynthetic Traits. CoRR abs/2511.15173 (2025)- 2024
[i1]Seungri Yoon, Yunseong Cho, Tae In Ahn:
Melon Fruit Detection and Quality Assessment Using Generative AI-Based Image Data Augmentation. CoRR abs/2407.10413 (2024)- 2022
[j2]Taewon Moon
, Dongpil Kim, Sungmin Kwon, Tae In Ahn, Jung-Eek Son
:
Non-Destructive Monitoring of Crop Fresh Weight and Leaf Area with a Simple Formula and a Convolutional Neural Network. Sensors 22(20): 7728 (2022)
2010 – 2019
- 2018
[j1]Woo-Jae Cho, Hak-Jin Kim, Dae-Hyun Jung
, Dong-Wook Kim, Tae In Ahn
, Jung-Eek Son
:
On-site ion monitoring system for precision hydroponic nutrient management. Comput. Electron. Agric. 146: 51-58 (2018)
Coauthor Index

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