标题
Weed Detection in Perennial Ryegrass With Deep Learning Convolutional Neural Network
作者
关键词
-
出版物
Frontiers in Plant Science
Volume 10, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2019-10-31
DOI
10.3389/fpls.2019.01422
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 for image-based weed detection in turfgrass
- (2019) Jialin Yu et al. EUROPEAN JOURNAL OF AGRONOMY
- Vegetation detection and discrimination within vegetable plasticulture row-middles using a convolutional neural network
- (2019) Shaun M. Sharpe et al. PRECISION AGRICULTURE
- Recent advances in convolutional neural networks
- (2018) Jiuxiang Gu et al. PATTERN RECOGNITION
- An explainable deep machine vision framework for plant stress phenotyping
- (2018) Sambuddha Ghosal et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Weed Growth Stage Estimator Using Deep Convolutional Neural Networks
- (2018) Nima Teimouri et al. SENSORS
- Brain tumor segmentation with Deep Neural Networks
- (2017) Mohammad Havaei et al. MEDICAL IMAGE ANALYSIS
- Deep learning for plant identification using vein morphological patterns
- (2016) Guillermo L. Grinblat et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Human activity recognition with smartphone sensors using deep learning neural networks
- (2016) Charissa Ann Ronao et al. EXPERT SYSTEMS WITH APPLICATIONS
- Technology for Automation of Weed Control in Specialty Crops
- (2016) Steven A. Fennimore et al. WEED TECHNOLOGY
- Creeping Bentgrass, Perennial Ryegrass, and Tall Fescue Tolerance to Topramezone During Establishment
- (2016) Christopher R. Johnston et al. WEED TECHNOLOGY
- Triclopyr Reduces Foliar Bleaching from Mesotrione and Enhances Efficacy for Smooth Crabgrass Control by Altering Uptake and Translocation
- (2016) Jialin Yu et al. WEED TECHNOLOGY
- Growth Stage Influences Mesotrione Efficacy and Fate in Two Bluegrass (Poa) Species
- (2016) Jialin Yu et al. WEED TECHNOLOGY
- Using Deep Learning for Image-Based Plant Disease Detection
- (2016) Sharada P. Mohanty et al. Frontiers in Plant Science
- Robot grasp detection using multimodal deep convolutional neural networks
- (2016) Zhichao Wang et al. Advances in Mechanical Engineering
- Deep Learning in Drug Discovery
- (2015) Erik Gawehn et al. Molecular Informatics
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
- (2015) Babak Alipanahi et al. NATURE BIOTECHNOLOGY
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- Machine learning: Trends, perspectives, and prospects
- (2015) M. I. Jordan et al. SCIENCE
- Vision meets robotics: The KITTI dataset
- (2013) A Geiger et al. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
- Use of herbicides on turfgrass
- (2013) J.S. McElroy et al. Planta Daninha
- Aminocyclopyrachlor Efficacy for Controlling Virginia Buttonweed (Diodia virginiana) and Smooth Crabgrass (Digitaria ischaemum) in Tall Fescue
- (2013) Thomas V. Reed et al. WEED TECHNOLOGY
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
- (2012) Geoffrey Hinton et al. IEEE SIGNAL PROCESSING MAGAZINE
- Simulation of reaction–diffusion processes in three dimensions using CUDA
- (2011) Ferenc Molnár et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- A systematic analysis of performance measures for classification tasks
- (2009) Marina Sokolova et al. INFORMATION PROCESSING & MANAGEMENT
- Sentiment classification of online reviews to travel destinations by supervised machine learning approaches
- (2008) Qiang Ye et al. EXPERT SYSTEMS WITH APPLICATIONS
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