A survey of deep learning techniques for weed detection from images

Comparison of Supervised Classifiers and Image Features for Crop Rows Segmentation on Aerial Images

(2020) Paulo César Pereira Júnior et al.   APPLIED ARTIFICIAL INTELLIGENCE

Deep learning versus Object-based Image Analysis (OBIA) in weed mapping of UAV imagery

(2020) Huasheng Huang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields

(2020) Junfeng Gao et al.   Plant Methods

A novel method for detecting morphologically similar crops and weeds based on the combination of contour masks and filtered Local Binary Pattern operators

(2020) Vi Nguyen Thanh Le et al.   GigaScience

A compilation of UAV applications for precision agriculture

(2020) Panagiotis Radoglou-Grammatikis et al.   Computer Networks

Towards weeds identification assistance through transfer learning

(2020) Borja Espejo-Garcia et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Detection of Colchicum autumnale in drone images, using a machine-learning approach

(2020) Lukas Petrich et al.   PRECISION AGRICULTURE

Performances of the LBP Based Algorithm over CNN Models for Detecting Crops and Weeds with Similar Morphologies

(2020) Vi Nguyen Thanh Le et al.   SENSORS

Open Plant Phenotype Database of Common Weeds in Denmark

(2020) Simon Leminen Madsen et al.   Remote Sensing

Real-time robotic weed knife control system for tomato and lettuce based on geometric appearance of plant labels

(2020) Rekha Raja et al.   BIOSYSTEMS ENGINEERING

Graph weeds net: A graph-based deep learning method for weed recognition

(2020) Kun Hu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

CNN feature based graph convolutional network for weed and crop recognition in smart farming

(2020) Honghua Jiang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Late fusion of multimodal deep neural networks for weeds classification

(2020) Vo Hoang Trong et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Goosegrass Detection in Strawberry and Tomato Using a Convolutional Neural Network

(2020) Shaun M. Sharpe et al.   Scientific Reports

Comparison of Object Detection and Patch-Based Classification Deep Learning Models on Mid- to Late-Season Weed Detection in UAV Imagery

(2020) Arun Narenthiran Veeranampalayam Sivakumar et al.   Remote Sensing

AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning

(2020) Aboozar Taherkhani et al.   NEUROCOMPUTING

A State-of-the-Art Survey on Deep Learning Theory and Architectures

(2019) Md Zahangir Alom et al.   Electronics

Investigation of alternate herbicides for effective weed management in glyphosate-tolerant cotton

(2019) Nadeem Iqbal et al.   Archives of Agronomy and Soil Science

Supervised Image Classification by Scattering Transform with Application to Weed Detection in Culture Crops of High Density

(2019) Pejman Rasti et al.   Remote Sensing

DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning

(2019) Alex Olsen et al.   Scientific Reports

Active semi-supervised learning based on self-expressive correlation with generative adversarial networks

(2019) Xiao-Yu Zhang et al.   NEUROCOMPUTING

Transfer learning between crop types for semantic segmentation of crops versus weeds in precision agriculture

(2019) Petra Bosilj et al.   Journal of Field Robotics

Analysis of Spectral Bands and Spatial Resolutions for Weed Classification Via Deep Convolutional Neural Network

(2019) Adnan Farooq et al.   IEEE Geoscience and Remote Sensing Letters

Deep learning for image-based weed detection in turfgrass

(2019) Jialin Yu et al.   EUROPEAN JOURNAL OF AGRONOMY

Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence

(2019) Victor Partel et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A review on weed detection using ground-based machine vision and image processing techniques

(2019) Aichen Wang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

An improved tiny-yolov3 pedestrian detection algorithm

(2019) Zhang Yi et al.   OPTIK

Fully convolutional network for rice seedling and weed image segmentation at the seedling stage in paddy fields

(2019) Xu Ma et al.   PLoS One

Multi-Resolution Weed Classification via Convolutional Neural Network and Superpixel Based Local Binary Pattern Using Remote Sensing Images

(2019) Adnan Farooq et al.   Remote Sensing

Robust joint stem detection and crop‐weed classification using image sequences for plant‐specific treatment in precision farming

(2019) Philipp Lottes et al.   Journal of Field Robotics

A System for Weeds and Crops Identification—Reaching over 10 FPS on Raspberry Pi with the Usage of MobileNets, DenseNet and Custom Modifications

(2019) Łukasz Chechliński et al.   SENSORS

Unsupervised deep learning and semi-automatic data labeling in weed discrimination

(2019) Alessandro dos Santos Ferreira et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning-based visual recognition of rumex for robotic precision farming

(2019) Tsampikos Kounalakis et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

DeepSeedling: deep convolutional network and Kalman filter for plant seedling detection and counting in the field

(2019) Yu Jiang et al.   Plant Methods

Weed Detection in Perennial Ryegrass With Deep Learning Convolutional Neural Network

(2019) Jialin Yu et al.   Frontiers in Plant Science

Learning Semantic Graphics Using Convolutional Encoder–Decoder Network for Autonomous Weeding in Paddy

(2019) Shyam Prasad Adhikari et al.   Frontiers in Plant Science

Image generation by GAN and style transfer for agar plate image segmentation

(2019) Paolo Andreini et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Fine-tuning convolutional neural network with transfer learning for semantic segmentation of ground-level oilseed rape images in a field with high weed pressure

(2019) Alwaseela Abdalla et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Real-time classification of weeds in organic carrot production using deep learning algorithms

(2019) Florian J. Knoll et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Evaluation of support vector machine and artificial neural networks in weed detection using shape features

(2018) Adel Bakhshipour et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning in agriculture: A survey

(2018) Andreas Kamilaris et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A rapidly deployable classification system using visual data for the application of precision weed management

(2018) David Hall et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Visual features based boosted classification of weeds for real-time selective herbicide sprayer systems

(2018) Jamil Ahmad et al.   COMPUTERS IN INDUSTRY

An empirical comparison on state-of-the-art multi-class imbalance learning algorithms and a new diversified ensemble learning scheme

(2018) Jingjun Bi et al.   KNOWLEDGE-BASED SYSTEMS

Recent advances in convolutional neural networks

(2018) Jiuxiang Gu et al.   PATTERN RECOGNITION

A fully convolutional network for weed mapping of unmanned aerial vehicle (UAV) imagery

(2018) Huasheng Huang et al.   PLoS One

Weed Growth Stage Estimator Using Deep Convolutional Neural Networks

(2018) Nima Teimouri et al.   SENSORS

A Semantic Labeling Approach for Accurate Weed Mapping of High Resolution UAV Imagery

(2018) Huasheng Huang et al.   SENSORS

Is the current state of the art of weed monitoring suitable for site-specific weed management in arable crops?

(2018) C Fernández-Quintanilla et al.   WEED RESEARCH

AgroAVNET for crops and weeds classification: A step forward in automatic farming

(2018) Trupti R. Chavan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Machine Learning in Agriculture: A Review

(2018) Konstantinos Liakos et al.   SENSORS

WeedMap: A Large-Scale Semantic Weed Mapping Framework Using Aerial Multispectral Imaging and Deep Neural Network for Precision Farming

(2018) Inkyu Sa et al.   Remote Sensing

Accurate Weed Mapping and Prescription Map Generation Based on Fully Convolutional Networks Using UAV Imagery

(2018) Huasheng Huang et al.   SENSORS

Deep Learning with Unsupervised Data Labeling for Weed Detection in Line Crops in UAV Images

(2018) M Bah et al.   Remote Sensing

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

Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields

(2017) Nived Chebrolu et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

A brief introduction to weakly supervised learning

(2017) Zhi-Hua Zhou   National Science Review

Plant species classification using deep convolutional neural network

(2016) Mads Dyrmann et al.   BIOSYSTEMS ENGINEERING

Robotic weeding's false dawn? Ten requirements for fully autonomous mechanical weed management

(2016) C N Merfield   WEED RESEARCH

Detecting creeping thistle in sugar beet fields using vegetation indices

(2015) Wajahat Kazmi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Vision meets robotics: The KITTI dataset

(2013) A Geiger et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

Classifier ensemble construction with rotation forest to improve medical diagnosis performance of machine learning algorithms

(2011) Akin Ozcift et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) [Book reviews]

(2009) O. Chapelle et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Measuring classifier performance: a coherent alternative to the area under the ROC curve

(2009) David J. Hand   MACHINE LEARNING