Da-Young Lee

Institut Agro

H指数:8

被引数:502

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Full-Wave Optical Modeling of Leaf Internal Light Scattering for Early-Stage Fungal Disease Detection

Agriculture

IF3.6

2026-01-240

OAAI

Digital Image Quantification of Rice Sheath Blight: Optimized Segmentation and Automatic Classification

水稻鞘瘟病数字图像量化：优化分割与自动分类

Agriculture 2025, Vol. 15, Page 2478

IF3.6

2025-11-290

OAAI

Opportunities and Challenges in Combining Optical Sensing and Epidemiological Modeling

光学传感与流行病学建模相结合的机遇与挑战

PHYTOPATHOLOGY

IF3.1

2025-09-011

PRE

Mikaberidze, Alexey; Cruz, C. D.; Zerihun, Ayalsew; Barreto, Abel; Beck, Pieter; Calderon, Rocio; Camino, Carlos; Campbell, Rebecca E.; Delalieux, Stephanie K. L.; Fabre, Frederic; Falla, Elin; Fraser, Stuart; Gold, Kaitlin M.; Gongora-Canul, Carlos; Hamelin, Frederic; Harteveld, Dalphy O. C.; Hong, Cheng-Fang; Leclerc, Melen; Lee, Da-Young; Lobo Jr, Murillo; Mahlein, Anne-Katrin; McLay, Emily; Melloy, Paul; Parnell, Stephen; Rascher, Uwe; Rich, Jack; Salotti, Irene; Soubeyrand, Samuel; Sprague, Susan; Surano, Antony; Takooree, Sandhya D.; Taylor, Thomas H.; Touzeau, Suzanne; Zarco-Tejada, Pablo J.; Cunniffe, Nik J.

Optimizing Corn Tar Spot Measurement: A Deep Learning Approach Using Red-Green-Blue Imaging and the Stromata Contour Detection Algorithm for Leaf-Level Disease Severity Analysis

PLANT DISEASE

IF4.4

2025-01-010

PRE

Monitoring tar spot disease in corn at different canopy and temporal levels using aerial multispectral imaging and machine learning

FRONTIERS IN PLANT SCIENCE

IF4.8

2023-01-236

OAAI

Contour-Based Detection and Quantification of Tar Spot Stromata Using Red-Green-Blue (RGB) Imagery

FRONTIERS IN PLANT SCIENCE