Node Detection and Internode Length Estimation of Tomato Seedlings Based on Image Analysis and Machine Learning
出版年份 2016 全文链接
标题
Node Detection and Internode Length Estimation of Tomato Seedlings Based on Image Analysis and Machine Learning
作者
关键词
-
出版物
SENSORS
Volume 16, Issue 7, Pages 1044
出版商
MDPI AG
发表日期
2016-07-07
DOI
10.3390/s16071044
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Effects of grafting on different rootstocks on tomato fruit yield and quality
- (2018) A. Turhan et al. HORTICULTURAL SCIENCE
- Sensors and systems for fruit detection and localization: A review
- (2015) A. Gongal et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Multiscale imaging of plants: current approaches and challenges
- (2015) David Rousseau et al. Plant Methods
- Automated characterization of flowering dynamics in rice using field-acquired time-series RGB images
- (2015) Wei Guo et al. Plant Methods
- Vineyard Yield Estimation Based on the Analysis of High Resolution Images Obtained with Artificial Illumination at Night
- (2015) Davinia Font et al. SENSORS
- Image-based phenotyping of plant disease symptoms
- (2015) Andrew M. Mutka et al. Frontiers in Plant Science
- Growth and antioxidant phenolic compounds in cherry tomato seedlings grown under monochromatic light-emitting diodes
- (2015) Eun-Young Kim et al. Horticulture Environment and Biotechnology
- A review of advanced machine learning methods for the detection of biotic stress in precision crop protection
- (2014) Jan Behmann et al. PRECISION AGRICULTURE
- Window Size Impact in Human Activity Recognition
- (2014) Oresti Banos et al. SENSORS
- A Review of Imaging Techniques for Plant Phenotyping
- (2014) Lei Li et al. SENSORS
- On Plant Detection of Intact Tomato Fruits Using Image Analysis and Machine Learning Methods
- (2014) Kyosuke Yamamoto et al. SENSORS
- Illumination invariant segmentation of vegetation for time series wheat images based on decision tree model
- (2013) Wei Guo et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Estimating mango crop yield using image analysis using fruit at ‘stone hardening’ stage and night time imaging
- (2013) A. Payne et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Immature peach detection in colour images acquired in natural illumination conditions using statistical classifiers and neural network
- (2013) Ferhat Kurtulmus et al. PRECISION AGRICULTURE
- Estimation of mango crop yield using image analysis – Segmentation method
- (2012) A.B. Payne et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Using colour features of cv. ‘Gala’ apple fruits in an orchard in image processing to predict yield
- (2012) Rong Zhou et al. PRECISION AGRICULTURE
- Green citrus detection using ‘eigenfruit’, color and circular Gabor texture features under natural outdoor conditions
- (2011) Ferhat Kurtulmus et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Determination of the number of green apples in RGB images recorded in orchards
- (2011) Raphael Linker et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started