원문정보
강원대학교 산림과학연구소
강원대학교 산림과학연구소 학술대회
2021 International Symposium of Institute of Forest Science
2021.10
pp.61-63
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
We developed a deep learning-based algorithm with plant fruit images to predict the quantitative traits, fruit size, and weight. Highbush blueberry was selected as a model plant because of its commercial importance. Mask R-CNN was adopted for a deep learning guidance model to predict fruits' width, length, and weight. The deep learning algorithm had a high performance on object detection and image segmentation with more than 90% accuracy and detection rate.
목차
Abstract
Introduction
Materials and Methods
Results and Discussion
Extraction of phenotypic characteristics from image and performance evaluation of deep learning algorithms
Regression neural network model based on correlation analysis and model evaluation
Results
Acknowledgements
Introduction
Materials and Methods
Results and Discussion
Extraction of phenotypic characteristics from image and performance evaluation of deep learning algorithms
Regression neural network model based on correlation analysis and model evaluation
Results
Acknowledgements
저자정보
참고문헌
자료제공 : 네이버학술정보