모창연

전체 297건 중 11번부터 20번까지의 결과를 표시합니다.

2025

Conference

3D-CNN-Based NIR Hyperspectral Imaging for Protein Content Prediction in Paddy Rice

Conference

Data-driven Intelligent Beehive System: Diagnosis of Colony Condition and Environmental Monitoring

Conference

Non-Destructive Prediction of Quality Changes during Kiwifruit Ripening using VNIR Hyperspectral Imaging

Patent

양봉 사양 관리용 어시스트 장비

Conference

Development of Honeybee Object Detection and Tracking Software Using YOLO and DeepSORT for Behavioral Path Data Generation

Conference

Design of a Domain-Specific Large Language Model and Service for Intelligent Beekeeping

Article

Evaluating ripeness in post-harvest stored kiwifruit using VIS-NIR hyperspectral imaging

Conference

Grad-CAM-based CNN model for external defect assessment in Campbell Early grapes using VNIR hyperspectral imaging

Conference

Development of a two-dimensional convolutional neural network model for predicting protein content of paddy rice using hyperspectral images

Article

Enhancing Bee Mite Detection with YOLO: The Role of Data Augmentation and Stratified Sampling

상세 보기

모창연

연구분야

자료유형

발행연도

키워드

언어

3D-CNN-Based NIR Hyperspectral Imaging for Protein Content Prediction in Paddy Rice

Data-driven Intelligent Beehive System: Diagnosis of Colony Condition and Environmental Monitoring

Non-Destructive Prediction of Quality Changes during Kiwifruit Ripening using VNIR Hyperspectral Imaging

양봉 사양 관리용 어시스트 장비

Development of Honeybee Object Detection and Tracking Software Using YOLO and DeepSORT for Behavioral Path Data Generation

Design of a Domain-Specific Large Language Model and Service for Intelligent Beekeeping

Evaluating ripeness in post-harvest stored kiwifruit using VIS-NIR hyperspectral imaging

Grad-CAM-based CNN model for external defect assessment in Campbell Early grapes using VNIR hyperspectral imaging

Development of a two-dimensional convolutional neural network model for predicting protein content of paddy rice using hyperspectral images

Enhancing Bee Mite Detection with YOLO: The Role of Data Augmentation and Stratified Sampling