Related references
Note: Only part of the references are listed.Research on volume prediction of single tree canopy based on three-dimensional (3D) LiDAR and clustering segmentation
Hang Zhou et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2021)
Detection of ground straw coverage under conservation tillage based on deep learning
Deyi Zhou et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Monitoring of sugar beet growth indicators using wide-dynamic-range vegetation index (WDRVI) derived from UAV multispectral images
Yang Cao et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
A new visible band index (vNDVI) for estimating NDVI values on RGB images utilizing genetic algorithms
Lucas Costa et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
An automatic method for weed mapping in oat fields based on UAV imagery
Mateo Gasparovic et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Image feature extraction based on improved FCN for UUV side-scan sonar
Hongjian Wang et al.
MARINE GEOPHYSICAL RESEARCH (2020)
Establishing a model to predict the single boll weight of cotton in northern Xinjiang by using high resolution UAV remote sensing data
Weicheng Xu et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Deep learning techniques for automatic butterfly segmentation in ecological images
Hui Tang et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
A review on weed detection using ground-based machine vision and image processing techniques
Aichen Wang et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
A Method for Broccoli Seedling Recognition in Natural Environment Based on Binocular Stereo Vision and Gaussian Mixture Model
Luzhen Ge et al.
SENSORS (2019)
Deep Learning Techniques for Agronomy Applications
Chi-Hua Chen et al.
AGRONOMY-BASEL (2019)
Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images
Qi Yang et al.
FIELD CROPS RESEARCH (2019)
Crop yield prediction with deep convolutional neural networks
Petteri Nevavuori et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Estimating biomass of winter oilseed rape using vegetation indices and texture metrics derived from UAV multispectral images
Yinuo Liu et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Broccoli Seedling Segmentation Based on Support Vector Machine Combined With Color Texture Features
Kunlin Zou et al.
IEEE ACCESS (2019)
Optimising the parameters influencing performance and weed (goldenrod) identification accuracy of colour co-occurrence matrices
Tanzeel U. Rehman et al.
BIOSYSTEMS ENGINEERING (2018)
Deep learning in agriculture: A survey
Andreas Kamilaris et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)
Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery
Junfeng Gao et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2018)
Early season weed mapping in rice crops using multi-spectral UAV data
Daniela Stroppiana et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2018)
A fully convolutional network for weed mapping of unmanned aerial vehicle (UAV) imagery
Huasheng Huang et al.
PLOS ONE (2018)
A Semantic Labeling Approach for Accurate Weed Mapping of High Resolution UAV Imagery
Huasheng Huang et al.
SENSORS (2018)
Design and experiments of weeding teleoperated robot spectral sensor for winter rape and weed identification
Tao Tao et al.
ADVANCES IN MECHANICAL ENGINEERING (2018)
Accurate Weed Mapping and Prescription Map Generation Based on Fully Convolutional Networks Using UAV Imagery
Huasheng Huang et al.
SENSORS (2018)
Evaluation of UAV imagery for mapping Silybum marianum weed patches
A. A. Tamouridou et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2017)
Effective Vision-based Classification for Separating Sugar Beets and Weeds for Precision Farming
Philipp Lottes et al.
JOURNAL OF FIELD ROBOTICS (2017)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)
A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition
Alvaro Fuentes et al.
SENSORS (2017)
Novelty Detection Classifiers in Weed Mapping: Silybum marianum Detection on UAV Multispectral Images
Thomas K. Alexandridis et al.
SENSORS (2017)
Monitoring of Wheat Growth Status and Mapping of Wheat Yield's within-Field Spatial Variations Using Color Images Acquired from UAV-camera System
Mengmeng Du et al.
REMOTE SENSING (2017)
Early season weed mapping in sunflower using UAV technology: variability of herbicide treatment maps against weed thresholds
Francisca Lopez-Granados et al.
PRECISION AGRICULTURE (2016)
A survey of image processing techniques for plant extraction and segmentation in the field
Esmael Hamuda et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2016)
Selecting patterns and features for between- and within-crop-row weed mapping using UAV-imagery
Maria Perez-Ortiz et al.
EXPERT SYSTEMS WITH APPLICATIONS (2016)
Evaluation of pixel- and object-based approaches for mapping wild oat (Avena sterilis) weed patches in wheat fields using Quick Bird imagery for site-specific management
Isabel Luisa Castillejo-Gonzalez et al.
EUROPEAN JOURNAL OF AGRONOMY (2014)
Public Procurement's Place in the World The Charge towards Sustainability and Innovation Introduction
Francesco Decarolis et al.
PUBLIC PROCUREMENT'S PLACE IN THE WORLD: THE CHARGE TOWARDS SUSTAINABILITY AND INNOVATION (2014)
Potential uses of small unmanned aircraft systems (UAS) in weed research
J. Rasmussen et al.
WEED RESEARCH (2013)
Broad-scale cruciferous weed patch classification in winter wheat using QuickBird imagery for in-season site-specific control
Ana Isabel de Castro et al.
PRECISION AGRICULTURE (2013)
Weed detection for site-specific weed management: mapping and real-time approaches
F. Lopez-Granados
WEED RESEARCH (2011)
Verification of color vegetation indices for automated crop imaging applications
George E. Meyer et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2008)
Crop losses to pests
E. -C. Oerke
JOURNAL OF AGRICULTURAL SCIENCE (2006)