Weed Mapping with UAS Imagery and a Bag of Visual Words Based Image Classifier

Sugar beet and volunteer potato classification using Bag-of-Visual-Words model, Scale-Invariant Feature Transform, or Speeded Up Robust Feature descriptors and crop row information

(2018) Hyun K. Suh et al.   BIOSYSTEMS ENGINEERING

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

(2018) Huasheng Huang et al.   PLoS One

Long-term trends in the intensity and relative toxicity of herbicide use

(2017) Andrew R. Kniss   Nature Communications

Glyphosate Residues in Groundwater, Drinking Water and Urine of Subsistence Farmers from Intensive Agriculture Localities: A Survey in Hopelchén, Campeche, Mexico

(2017) Jaime Rendon-von Osten et al.   International Journal of Environmental Research and Public Health

Plant species classification using deep convolutional neural network

(2016) Mads Dyrmann et al.   BIOSYSTEMS ENGINEERING

Evaluation of UAV imagery for mapping Silybum marianum weed patches

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

Monitoring Agronomic Parameters of Winter Wheat Crops with Low-Cost UAV Imagery

(2016) Michael Schirrmann et al.   Remote Sensing

Detecting creeping thistle in sugar beet fields using vegetation indices

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

Classification of plant species from images of overlapping leaves

(2015) Tapio Pahikkala et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Weed growth and crop yield loss in wheat as influenced by row spacing and weed emergence times

(2015) Shah Fahad et al.   CROP PROTECTION

Target precision and biological efficacy of two nozzles used for precision weed control

(2015) P. K. Jensen   PRECISION 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

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

(2013) J Rasmussen et al.   WEED RESEARCH

A 3D model for light interception in heterogeneous crop:weed canopies: Model structure and evaluation

(2012) N.M. Munier-Jolain et al.   ECOLOGICAL MODELLING

A light-weight multi-spectral aerial imaging system for nitrogen crop monitoring

(2012) V. Lebourgeois et al.   PRECISION AGRICULTURE

An automated stand-alone in-field remote sensing system (SIRSS) for in-season crop monitoring

(2011) Haitao Xiang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Sequential support vector machine classification for small-grain weed species discrimination with special regard to Cirsium arvense and Galium aparine

(2011) Till Rumpf et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Multispectral classification of grass weeds and wheat (Triticum durum) using linear and nonparametric functional discriminant analysis and neural networks

(2010) F LÓPEZ-GRANADOS et al.   WEED RESEARCH

Site-specific weed control technologies

(2009) S CHRISTENSEN et al.   WEED RESEARCH

Classification of crops and weeds extracted by active shape models

(2008) Maria Persson et al.   BIOSYSTEMS ENGINEERING

Development and application of an autonomous unmanned aerial vehicle for precise aerobiological sampling above agricultural fields

(2008) David G. Schmale III et al.   Journal of Field Robotics

Assessment of Unmanned Aerial Vehicles Imagery for Quantitative Monitoring of Wheat Crop in Small Plots

(2008) Camille Lelong et al.   SENSORS