Deep Neural Networks to Detect Weeds from Crops in Agricultural Environments in Real-Time: A Review
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Deep Neural Networks to Detect Weeds from Crops in Agricultural Environments in Real-Time: A Review
Authors
Keywords
-
Journal
Remote Sensing
Volume 13, Issue 21, Pages 4486
Publisher
MDPI AG
Online
2021-11-09
DOI
10.3390/rs13214486
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Field Weed Density Evaluation Method Based on UAV Imaging and Modified U-Net
- (2021) Kunlin Zou et al. Remote Sensing
- Unmanned Aerial Vehicles in Agriculture: A Survey
- (2021) Jaime del Cerro et al. Agronomy-Basel
- Bag-of-visual-words-augmented Histogram of Oriented Gradients for efficient weed detection
- (2021) Saad Abouzahir et al. BIOSYSTEMS ENGINEERING
- Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
- (2021) Teja Kattenborn et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Advanced Fully Convolutional Networks for Agricultural Field Boundary Detection
- (2021) Alireza Taravat et al. Remote Sensing
- Automated Machine Learning for High-Throughput Image-Based Plant Phenotyping
- (2021) Joshua C.O. Koh et al. Remote Sensing
- A survey of deep learning techniques for weed detection from images
- (2021) A S M Mahmudul Hasan et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments
- (2021) Muhammad Hammad Saleem et al. PRECISION AGRICULTURE
- Early Weed Detection Using Image Processing and Machine Learning Techniques in an Australian Chilli Farm
- (2021) Nahina Islam et al. Agriculture-Basel
- Multi-stream hybrid architecture based on cross-level fusion strategy for fine-grained crop species recognition in precision agriculture
- (2021) Jianlei Kong et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Assessment of Weed Classification Using Hyperspectral Reflectance and Optimal Multispectral UAV Imagery
- (2021) Nik Norasma Che’Ya et al. Agronomy-Basel
- Agricultural robotics research applicable to poultry production: A review
- (2020) Guoqiang Ren et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Application of Deep Learning Convolutional Neural Networks for Internal Tablet Defect Detection: High Accuracy, Throughput, and Adaptability
- (2020) Xiangyu Ma et al. JOURNAL OF PHARMACEUTICAL SCIENCES
- Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields
- (2020) Junfeng Gao et al. Plant Methods
- A novel approach to estimating the competitive ability of Cirsium arvense in cereals using unmanned aerial vehicle imagery
- (2020) J Rasmussen et al. WEED RESEARCH
- A CNN-RNN Framework for Crop Yield Prediction
- (2020) Saeed Khaki et al. Frontiers in Plant Science
- Weed Density Detection Method Based on Absolute Feature Corner Points in Field
- (2020) Yanlei Xu et al. Agronomy-Basel
- Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment
- (2020) Dieu Tien Bui et al. CATENA
- Towards weeds identification assistance through transfer learning
- (2020) Borja Espejo-Garcia et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Applications of Deep Learning for Dense Scenes Analysis in Agriculture: A Review
- (2020) Qian Zhang et al. SENSORS
- A Review of Convolutional Neural Network Applied to Fruit Image Processing
- (2020) José Naranjo-Torres et al. Applied Sciences-Basel
- RTD-SEPs: Real-time detection of stem emerging points and classification of crop-weed for robotic weed control in producing tomato
- (2020) Rekha Raja et al. BIOSYSTEMS ENGINEERING
- An optimized dense convolutional neural network model for disease recognition and classification in corn leaf
- (2020) Abdul Waheed et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Optimising realism of synthetic images using cycle generative adversarial networks for improved part segmentation
- (2020) R. Barth et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- An automatic method for weed mapping in oat fields based on UAV imagery
- (2020) Mateo Gašparović et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Comparative Analysis of Image Classification Algorithms Based on Traditional Machine Learning and Deep Learning
- (2020) Pin Wang et al. PATTERN RECOGNITION LETTERS
- Unmanned aerial vehicles for biodiversity-friendly agricultural landscapes - A systematic review
- (2020) Felipe Librán-Embid et al. SCIENCE OF THE TOTAL ENVIRONMENT
- 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
- Instance segmentation for the fine detection of crop and weed plants by precision agricultural robots
- (2020) Julien Champ et al. Applications in Plant Sciences
- Mechanical weed control in onion seed production
- (2020) Euro Pannacci et al. CROP PROTECTION
- Feature based video stabilization based on boosted HAAR Cascade and representative point matching algorithm
- (2020) Rohit Raj et al. IMAGE AND VISION COMPUTING
- A Concept of a Compact and Inexpensive Device for Controlling Weeds with Laser Beams
- (2020) Ildar Rakhmatulin et al. Agronomy-Basel
- A comprehensive review on convolutional neural network in machine fault diagnosis
- (2020) Jinyang Jiao et al. NEUROCOMPUTING
- Efficient neural network using pointwise convolution kernels with linear phase constraint
- (2020) Feng Liang et al. NEUROCOMPUTING
- Use of deep learning techniques for identification of plant leaf stresses: A review
- (2020) Serosh Karim Noon et al. Sustainable Computing-Informatics & Systems
- Development of Efficient CNN model for Tomato crop disease identification
- (2020) Mohit Agarwal et al. Sustainable Computing-Informatics & Systems
- Plant leaf disease classification using EfficientNet deep learning model
- (2020) Ümit Atila et al. Ecological Informatics
- Accuracy-diversity trade-off in recommender systems via graph convolutions
- (2020) Elvin Isufi et al. INFORMATION PROCESSING & MANAGEMENT
- DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning
- (2019) Alex Olsen et al. Scientific Reports
- CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture
- (2019) Yang-Yang Zheng et al. SENSORS
- Deep learning for image-based weed detection in turfgrass
- (2019) Jialin Yu et al. EUROPEAN JOURNAL OF AGRONOMY
- A review on weed detection using ground-based machine vision and image processing techniques
- (2019) Aichen Wang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Apple detection during different growth stages in orchards using the improved YOLO-V3 model
- (2019) Yunong Tian et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Development and field evaluation of a machine vision based in-season weed detection system for wild blueberry
- (2019) Tanzeel U. Rehman et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Fully convolutional network for rice seedling and weed image segmentation at the seedling stage in paddy fields
- (2019) Xu Ma et al. PLoS One
- Fruit detection for strawberry harvesting robot in non-structural environment based on Mask-RCNN
- (2019) Yang Yu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Convolutional Neural Networks for the Automatic Identification of Plant Diseases
- (2019) Justine Boulent et al. Frontiers in Plant Science
- Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics
- (2019) Tong He et al. NEUROIMAGE
- Integration of remote‐weed mapping and an autonomous spraying unmanned aerial vehicle for site‐specific weed management
- (2019) Joseph E Hunter et al. PEST MANAGEMENT SCIENCE
- Improving the accuracy using pre-trained word embeddings on deep neural networks for Turkish text classification
- (2019) Murat Aydoğan et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Weed Detection in Perennial Ryegrass With Deep Learning Convolutional Neural Network
- (2019) Jialin Yu et al. Frontiers in Plant Science
- Lameness detection of dairy cows based on the YOLOv3 deep learning algorithm and a relative step size characteristic vector
- (2019) Dihua Wu et al. BIOSYSTEMS ENGINEERING
- Improved localization accuracy by LocNet for Faster R-CNN based text detection in natural scene images
- (2019) Zhuoyao Zhong et al. PATTERN RECOGNITION
- Data synthesis methods for semantic segmentation in agriculture: A Capsicum annuum dataset
- (2018) R. Barth 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
- Extended Ackerman Steering Principle for the coordinated movement control of a four wheel drive agricultural mobile robot
- (2018) Quan Qiu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A review of the use of convolutional neural networks in agriculture
- (2018) A. Kamilaris et al. JOURNAL OF AGRICULTURAL SCIENCE
- AmoebaNet: An SDN-enabled network service for big data science
- (2018) S.A.R. Shah et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- A fully convolutional network for weed mapping of unmanned aerial vehicle (UAV) imagery
- (2018) Huasheng Huang et al. PLoS One
- A review of the use of convolutional neural networks in agriculture
- (2018) A. Kamilaris et al. JOURNAL OF AGRICULTURAL SCIENCE
- Machine Learning in Agriculture: A Review
- (2018) Konstantinos Liakos et al. SENSORS
- Current and future applications of statistical machine learning algorithms for agricultural machine vision systems
- (2018) Tanzeel U. Rehman et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Feature Learning Based Approach for Weed Classification Using High Resolution Aerial Images from a Digital Camera Mounted on a UAV
- (2014) Calvin Hung et al. Remote Sensing
- Design and application of a weed damage model for laser-based weed control
- (2012) Christian Marx et al. BIOSYSTEMS ENGINEERING
- Bayesian classification and unsupervised learning for isolating weeds in row crops
- (2012) François-Michel De Rainville et al. PATTERN ANALYSIS AND APPLICATIONS
- Fibre-optic coupling to high-resolution CCD and CMOS image sensors
- (2008) R.G. van Silfhout et al. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
- Autonomous robotic weed control systems: A review
- (2007) D.C. Slaughter et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started