Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV

[1]  F. López-Granados,et al.  Weed Mapping in Early-Season Maize Fields Using Object-Based Analysis of Unmanned Aerial Vehicle (UAV) Images , 2013, PloS one.

[2]  J. E. Rasmussen,et al.  Potential uses of small unmanned aircraft systems (UAS) in weed research , 2013 .

[3]  Zhenghong Yu,et al.  Automatic image-based detection technology for two critical growth stages of maize: Emergence and three-leaf stage , 2013 .

[4]  Gonzalo Pajares,et al.  A new Expert System for greenness identification in agricultural images , 2013, Expert Syst. Appl..

[5]  L. Alonso,et al.  A red-edge spectral index for remote sensing estimation of green LAI over agroecosystems , 2013 .

[6]  F. López-Granados,et al.  Configuration and Specifications of an Unmanned Aerial Vehicle (UAV) for Early Site Specific Weed Management , 2013, PloS one.

[7]  M. Jurado-Expósito,et al.  Broad-scale cruciferous weed patch classification in winter wheat using QuickBird imagery for in-season site-specific control , 2013, Precision Agriculture.

[8]  Won Suk Lee,et al.  Comparison of two aerial imaging platforms for identification of Huanglongbing-infected citrus trees , 2013 .

[9]  Gonzalo Pajares,et al.  Support Vector Machines for crop/weeds identification in maize fields , 2012, Expert Syst. Appl..

[10]  V. Salokhe,et al.  Application of low altitude remote sensing (LARS) platform for monitoring crop growth and weed infestation in a soybean plantation , 2012, Precision Agriculture.

[11]  M. Jurado-Expósito,et al.  Airborne multi-spectral imagery for mapping cruciferous weeds in cereal and legume crops , 2012, Precision Agriculture.

[12]  T. Sakamoto,et al.  Assessment of digital camera-derived vegetation indices in quantitative monitoring of seasonal rice growth , 2011 .

[13]  César Fernández-Quintanilla,et al.  Discrimination of sterile oat (Avena sterilis) in winter barley (Hordeum vulgare) using QuickBird satellite images , 2011 .

[14]  J. Six,et al.  Object-based crop identification using multiple vegetation indices, textural features and crop phenology , 2011 .

[15]  Alireza Sharifi,et al.  Comparison the accuracies of different spectral indices for estimation of vegetation cover fraction in sparse vegetated areas , 2011 .

[16]  Lei Tian,et al.  Development of a low-cost agricultural remote sensing system based on an autonomous unmanned aerial vehicle (UAV) , 2011 .

[17]  Francisca López-Granados,et al.  Weed detection for site-specific weed management: mapping and real-time approaches , 2011 .

[18]  G. Pajares,et al.  Original paper: Real-time image processing for crop/weed discrimination in maize fields , 2011 .

[19]  Takeshi Motohka,et al.  Applicability of Green-Red Vegetation Index for Remote Sensing of Vegetation Phenology , 2010, Remote. Sens..

[20]  Alistair Reid,et al.  1-Point RANSAC for extended Kalman filtering: Application to real-time structure from motion and visual odometry , 2010 .

[21]  Craig S. T. Daughtry,et al.  Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring , 2010, Remote. Sens..

[22]  G. Meyer,et al.  Verification of color vegetation indices for automated crop imaging applications , 2008 .

[23]  Tomislav Hengl,et al.  Finding the right pixel size , 2006, Comput. Geosci..

[24]  Chenghai Yang,et al.  Comparison of QuickBird Satellite Imagery and Airborne Imagery for Mapping Grain Sorghum Yield Patterns , 2006, Precision Agriculture.

[25]  N. D. Tillett,et al.  Automated Crop and Weed Monitoring in Widely Spaced Cereals , 2006, Precision Agriculture.

[26]  Jingfeng Xiao,et al.  A comparison of methods for estimating fractional green vegetation cover within a desert-to-upland transition zone in central New Mexico, USA , 2005 .

[27]  L. Tian,et al.  A Review on Remote Sensing of Weeds in Agriculture , 2004, Precision Agriculture.

[28]  James A. Brass,et al.  Imaging from an unmanned aerial vehicle: agricultural surveillance and decision support , 2004 .

[29]  T. Kataoka,et al.  Crop growth estimation system using machine vision , 2003, Proceedings 2003 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2003).

[30]  A. Gitelson,et al.  Novel algorithms for remote estimation of vegetation fraction , 2002 .

[31]  G. Meyer,et al.  Color indices for weed identification under various soil, residue, and lighting conditions , 1994 .

[32]  Alberto Tellaeche,et al.  Analysis of natural images processing for the extraction of agricultural elements , 2010, Image Vis. Comput..

[33]  G. Pajaresb,et al.  utomatic segmentation of relevant textures in agricultural images , 2010 .

[34]  Fabio Tozeto Ramos,et al.  Airborne vision‐based mapping and classification of large farmland environments , 2010, J. Field Robotics.

[35]  J. C. Neto,et al.  A combined statistical-soft computing approach for classification and mapping weed species in minimum -tillage systems , 2004 .

[36]  Luis García Torres,et al.  Fundamentos sobre malas hierbas y herbicidas , 1991 .

[37]  N. Otsu.  A Threshold Selection Method from Gray-Level Histograms , 1979, IEEE Trans. Syst. Man Cybern..