Publications

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Publications

Selected peer-reviewed publications and research outputs from our lab, spanning plant physiology, greenhouse engineering, and data‑driven agriculture.

2026

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

LLMKnowledge GraphPhotosynthesis

Seungri Yoon, and Tae In Ahn

IEEE Access 14 (2026): 9193-9200

2025

Knowledge Synthesis of Photosynthesis Research Using a Large Language Model

LLMPhotosynthesisKnowledge Graph

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

arXiv preprint arXiv:2502.01059 (2025)

Enhancement of sweet pepper photosynthesis and yield with green-to-red sunlight conversion despite reduced daily light integral

LightPhotosynthesis

Jun Hyeun Kang, Ju Young Lee, and Tae In Ahn

Horticulture, Environment, and Biotechnology (2025): 1-12

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

Nutrient ManagementHydroponicsIoT

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

Computers and Electronics in Agriculture 237 (2025): 110588

Temporal and Age-Dependent Dynamics of Photoinhibitory Responses under Diverse Light Scenarios

PhotosynthesisLight

Hyeonjee Kim, Eunjeong Lim, and Tae In Ahn

Journal of Bio-Environment Control 34.4 (2025): 619-630

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

Data-DrivenLightPhenotyping

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

arXiv preprint arXiv:2511.15173 (2025)

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

Deep LearningEvapotranspirationGreenhouse

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

Computers and Electronics in Agriculture 239 (2025): 111079

2024

Melon fruit detection and quality assessment using generative ai-based image data augmentation

Computer VisionAI

Seungri Yoon, Yunseong Cho, Minju Shin, Mi Young Lin, Dahae Kim, and Tae In Ahn

Journal of Bio-Environment Control 33.4 (2024): 352-360

Computer vision approach for phenotypic characterization of horticultural crops

Computer VisionPhenotyping

Seungri Yoon, Minju Shin, Jin Hyun Kim, Ho Jeong Jeong, Junyoung Park, and Tae In Ahn

Journal of Bio-Environment Control 33.1 (2024): 63-70

Agricultural Applicability of AI based Image Generation

AIComputer Vision

Seungri Yoon, Yeyeong Lee, Eunkyu Jung, and Tae In Ahn

Journal of Bio-Environment Control 33.2 (2024): 120-128

Nationwide analysis of greenhouse effluents reveals robustness of crops as a modulator of ambient stoichiometry

GreenhouseSustainability

Tae In Ahn, Jung-Seok Yang, Yong-Hoon Im, Young Jik Youn, Dahae Kim, and Ju Young Lee

Journal of Cleaner Production 482 (2024): 144127

2023

Thermal behavior and leaf temperature in a high pressure sodium lamp supplemented greenhouse

GreenhouseLight

Seungri Yoon, Jin Hyun Kim, Minju Shin, Dongpil Kim, Ji Wong Bang, Ho Jeong Jeong, and Tae In Ahn

Journal of Bio-Environment Control 32.1 (2023): 48-56

Ray-tracing analysis on the far-red induced light-capturing ability of kale

LightPhotosynthesis

Jun Hyeun Kang, Hyo In Yoon, Jaewoo Kim, Tae In Ahn, and Jung Eek Son

Scientia Horticulturae 311 (2023): 111806

Analysis of the relationship between melon fruit growth and net quality using computer vision and fruit modeling

Computer VisionPhenotyping

Seungri Yoon, Minju Shin, Jin Hyun Kim, Ji Wong Bang, Ho Jeong Jeong, and Tae In Ahn

Journal of Bio-Environment Control 32.4 (2023): 456-465

2022

Application of an alternative nutrient replenishment method to electrical conductivity-based closed-loop soilless cultures of sweet peppers

Nutrient ManagementHydroponics

Tae In Ahn, and Jung Eek Son

Horticulturae 8.4 (2022): 295

Non-destructive monitoring of crop fresh weight and leaf area with a simple formula and a convolutional neural network

Deep LearningMonitoring

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

Sensors 22.20 (2022): 7728

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