Weed Detection in Perennial Ryegrass With Deep Learning Convolutional Neural Network

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