标题
Detection and analysis of wheat spikes using Convolutional Neural Networks
作者
关键词
-
出版物
Plant Methods
Volume 14, Issue 1, Pages -
出版商
Springer Nature America, Inc
发表日期
2018-11-15
DOI
10.1186/s13007-018-0366-8
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。- The use of plant models in deep learning: an application to leaf counting in rosette plants
- (2018) Jordan Ubbens et al. Plant Methods
- Wheat ear counting in-field conditions: high throughput and low-cost approach using RGB images
- (2018) Jose A. Fernandez-Gallego et al. Plant Methods
- Estimation of vegetation indices for high-throughput phenotyping of wheat using aerial imaging
- (2018) Zohaib Khan et al. Plant Methods
- Recognition of Wheat Spike from Field Based Phenotype Platform Using Multi-Sensor Fusion and Improved Maximum Entropy Segmentation Algorithms
- (2018) Chengquan Zhou et al. Remote Sensing
- Wheat Ears Counting in Field Conditions Based on Multi-Feature Optimization and TWSVM
- (2018) Chengquan Zhou et al. Frontiers in Plant Science
- Phenotyping of plants in competitive but controlled environments: a study of drought response in transgenic wheat
- (2017) Nataliya Kovalchuk et al. FUNCTIONAL PLANT BIOLOGY
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- (2017) Shaoqing Ren et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- TasselNet: counting maize tassels in the wild via local counts regression network
- (2017) Hao Lu et al. Plant Methods
- High-Throughput Phenotyping of Plant Height: Comparing Unmanned Aerial Vehicles and Ground LiDAR Estimates
- (2017) Simon Madec et al. Frontiers in Plant Science
- Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks
- (2017) Jordan R. Ubbens et al. Frontiers in Plant Science
- Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms
- (2017) Fernando Perez-Sanz et al. GigaScience
- Computer vision cracks the leaf code
- (2016) Peter Wilf et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Machine Learning for Plant Phenotyping Needs Image Processing
- (2016) Sotirios A. Tsaftaris et al. TRENDS IN PLANT SCIENCE
- Machine Learning for High-Throughput Stress Phenotyping in Plants
- (2016) Arti Singh et al. TRENDS IN PLANT SCIENCE
- High Throughput Field Phenotyping of Wheat Plant Height and Growth Rate in Field Plot Trials Using UAV Based Remote Sensing
- (2016) Fenner Holman et al. Remote Sensing
- A scalable satellite-based crop yield mapper
- (2015) David B. Lobell et al. REMOTE SENSING OF ENVIRONMENT
- Root phenotyping by root tip detection and classification through statistical learning
- (2014) Pankaj Kumar et al. PLANT AND SOIL
- Field high-throughput phenotyping: the new crop breeding frontier
- (2013) José Luis Araus et al. TRENDS IN PLANT SCIENCE
- The Pascal Visual Object Classes (VOC) Challenge
- (2009) Mark Everingham et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk 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