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

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

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

Unsupervised Classification Algorithm for Early Weed Detection in Row-Crops by Combining Spatial and Spectral Information

(2018) Marine Louargant et al.   Remote Sensing

An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery

(2018) Ana de Castro et al.   Remote Sensing

Transfer Learning with Deep Convolutional Neural Network for SAR Target Classification with Limited Labeled Data

(2017) Zhongling Huang et al.   Remote Sensing

Haralick texture features from apparent diffusion coefficient (ADC) MRI images depend on imaging and pre-processing parameters

(2017) Patrik Brynolfsson et al.   Scientific Reports

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

Special object extraction from medieval books using superpixels and bag-of-features

(2016) Ying Yang et al.   JOURNAL OF ELECTRONIC IMAGING

Exploiting affine invariant regions and leaf edge shapes for weed detection

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

An automatic object-based method for optimal thresholding in UAV images: Application for vegetation detection in herbaceous crops

(2015) J. Torres-Sánchez 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

Weed Mapping in Early-Season Maize Fields Using Object-Based Analysis of Unmanned Aerial Vehicle (UAV) Images

(2013) José Manuel Peña et al.   PLoS One

Ground-level hyperspectral imagery for detecting weeds in wheat fields

(2013) I. Herrmann et al.   PRECISION AGRICULTURE

Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps

(2012) David J. Mulla   BIOSYSTEMS ENGINEERING

Classification of crops and weeds from digital images: A support vector machine approach

(2012) Faisal Ahmed et al.   CROP PROTECTION

Automatic detection of crop rows in maize fields with high weeds pressure

(2012) M. Montalvo et al.   EXPERT SYSTEMS WITH APPLICATIONS

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

(2012) R. Achanta et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

The application of small unmanned aerial systems for precision agriculture: a review

(2012) Chunhua Zhang et al.   PRECISION AGRICULTURE

Robust Crop and Weed Segmentation under Uncontrolled Outdoor Illumination

(2011) Hong Y. Jeon et al.   SENSORS

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Object based image analysis for remote sensing

(2009) T. Blaschke   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Precision farming for weed management: techniques

(2008) Martin Weis et al.   Gesunde Pflanzen

Effects of arsenate on the growth and microcystin production of Microcystis aeruginosa isolated from Taiwan as influenced by extracellular phosphate

(2008) Yan Gong et al.   JOURNAL OF APPLIED PHYCOLOGY

Modelling agronomic images for weed detection and comparison of crop/weed discrimination algorithm performance

(2008) G. Jones et al.   PRECISION AGRICULTURE

Crop/weed discrimination in perspective agronomic images

(2007) Ch. Gée et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE