A Field Weed Density Evaluation Method Based on UAV Imaging and Modified U-Net

Detection of ground straw coverage under conservation tillage based on deep learning

(2020) Deyi Zhou et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Monitoring of sugar beet growth indicators using wide-dynamic-range vegetation index (WDRVI) derived from UAV multispectral images

(2020) Yang Cao et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A new visible band index (vNDVI) for estimating NDVI values on RGB images utilizing genetic algorithms

(2020) Lucas Costa 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

Image feature extraction based on improved FCN for UUV side-scan sonar

(2020) Hongjian Wang et al.   MARINE GEOPHYSICAL RESEARCH

Establishing a model to predict the single boll weight of cotton in northern Xinjiang by using high resolution UAV remote sensing data

(2020) Weicheng Xu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Research on volume prediction of single tree canopy based on three-dimensional (3D) LiDAR and clustering segmentation

(2020) Hang Zhou et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

A Method for Broccoli Seedling Recognition in Natural Environment Based on Binocular Stereo Vision and Gaussian Mixture Model

(2019) Luzhen Ge et al.   SENSORS

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

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

Deep Learning Techniques for Agronomy Applications

(2019) Chi-Hua Chen et al.   Agronomy-Basel

Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images

(2019) Qi Yang et al.   FIELD CROPS RESEARCH

Crop yield prediction with deep convolutional neural networks

(2019) Petteri Nevavuori et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Estimating biomass of winter oilseed rape using vegetation indices and texture metrics derived from UAV multispectral images

(2019) Yinuo Liu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Optimising the parameters influencing performance and weed (goldenrod) identification accuracy of colour co-occurrence matrices

(2018) Tanzeel U. Rehman et al.   BIOSYSTEMS ENGINEERING

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

Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery

(2018) Junfeng Gao et al.   International Journal of Applied Earth Observation and Geoinformation

Early season weed mapping in rice crops using multi-spectral UAV data

(2018) Daniela Stroppiana et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

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

Design and experiments of weeding teleoperated robot spectral sensor for winter rape and weed identification

(2018) Tao Tao et al.   Advances in Mechanical Engineering

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

A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition

(2017) Alvaro Fuentes et al.   SENSORS

Novelty Detection Classifiers in Weed Mapping: Silybum marianum Detection on UAV Multispectral Images

(2017) Thomas Alexandridis et al.   SENSORS

Monitoring of Wheat Growth Status and Mapping of Wheat Yield’s within-Field Spatial Variations Using Color Images Acquired from UAV-camera System

(2017) Mengmeng Du et al.   Remote Sensing

A survey of image processing techniques for plant extraction and segmentation in the field

(2016) Esmael Hamuda et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

Evaluation of UAV imagery for mapping Silybum marianum weed patches

(2016) A. A. Tamouridou et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Effective Vision-based Classification for Separating Sugar Beets and Weeds for Precision Farming

(2016) Philipp Lottes et al.   Journal of Field Robotics

Early season weed mapping in sunflower using UAV technology: variability of herbicide treatment maps against weed thresholds

(2015) Francisca López-Granados et al.   PRECISION AGRICULTURE

Evaluation of pixel- and object-based approaches for mapping wild oat (Avena sterilis) weed patches in wheat fields using QuickBird imagery for site-specific management

(2014) Isabel Luisa Castillejo-González et al.   EUROPEAN JOURNAL OF AGRONOMY

Broad-scale cruciferous weed patch classification in winter wheat using QuickBird imagery for in-season site-specific control

(2013) Ana Isabel de Castro et al.   PRECISION AGRICULTURE

Potential uses of small unmanned aircraft systems (UAS) in weed research

(2013) J Rasmussen et al.   WEED RESEARCH

Weed detection for site-specific weed management: mapping and real-time approaches

(2010) F LÓPEZ-GRANADOS   WEED RESEARCH

Site-specific weed control technologies

(2009) S CHRISTENSEN et al.   WEED RESEARCH

Verification of color vegetation indices for automated crop imaging applications

(2008) George E. Meyer et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE