Fully convolutional network for rice seedling and weed image segmentation at the seedling stage in paddy fields
出版年份 2019 全文链接
标题
Fully convolutional network for rice seedling and weed image segmentation at the seedling stage in paddy fields
作者
关键词
Weeds, Rice, Seedlings, Imaging techniques, Algorithms, Neural networks, Deep learning, Herbicides
出版物
PLoS One
Volume 14, Issue 4, Pages e0215676
出版商
Public Library of Science (PLoS)
发表日期
2019-04-19
DOI
10.1371/journal.pone.0215676
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。- Deep learning in agriculture: A survey
- (2018) Andreas Kamilaris et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- (2018) Liang-Chieh Chen et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- A fully convolutional network for weed mapping of unmanned aerial vehicle (UAV) imagery
- (2018) Huasheng Huang et al. PLoS One
- A Semantic Labeling Approach for Accurate Weed Mapping of High Resolution UAV Imagery
- (2018) Huasheng Huang et al. SENSORS
- Accurate Weed Mapping and Prescription Map Generation Based on Fully Convolutional Networks Using UAV Imagery
- (2018) Huasheng Huang et al. SENSORS
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- (2017) Vijay Badrinarayanan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Fully Convolutional Networks for Semantic Segmentation
- (2017) Evan Shelhamer et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- 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
- Object-based early monitoring of a grass weed in a grass crop using high resolution UAV imagery
- (2016) Francisca López-Granados et al. Agronomy for Sustainable Development
- Weed detection using image processing under different illumination for site-specific areas spraying
- (2016) Jing-Lei Tang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Weed management challenges in rice (Oryza sativa L.) for food security in Bhutan: A review
- (2016) Sangay Tshewang et al. CROP PROTECTION
- Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery
- (2016) María Pérez-Ortiz et al. EXPERT SYSTEMS WITH APPLICATIONS
- Spatial Quality Evaluation of Resampled Unmanned Aerial Vehicle-Imagery for Weed Mapping
- (2015) Irene Borra-Serrano et al. SENSORS
- Effects of crop establishment techniques on weeds and rice yield
- (2014) Rajender Singh Chhokar et al. CROP PROTECTION
- Selective Search for Object Recognition
- (2013) J. R. R. Uijlings et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Socioeconomic impact of widespread adoption of precision farming and controlled traffic systems in Denmark
- (2012) Hans Grinsted Jensen et al. PRECISION AGRICULTURE
- A computer vision approach for weeds identification through Support Vector Machines
- (2010) Alberto Tellaeche et al. APPLIED SOFT COMPUTING
- Beyond patch spraying: site-specific weed management with several herbicides
- (2008) L. J. Wiles PRECISION 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