A cognitive vision approach to early pest detection in greenhouse crops
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[1] Ray F. Smith,et al. THE INTEGRATION OF CHEMICAL AND BIOLOGICAL CONTROL OF , 1959 .
[2] Michael Raviv,et al. The effect of water availability and quality on photosynthesis and productivity of soilless-grown cut roses , 2001 .
[3] Vlastimil Křivan,et al. Computer-assisted estimation of leaf damage caused by spider mites , 2006 .
[4] Wolfgang Ponweiser,et al. Contextual Coordination in a Cognitive Vision System for Symbolic Activity Interpretation , 2006, Fourth IEEE International Conference on Computer Vision Systems (ICVS'06).
[5] Sven J. Dickinson,et al. A Research Roadmap of Cognitive Vision , 2005 .
[6] Rustam Stolkin,et al. Scene Reconstruction Pose Estimation and Tracking , 2007 .
[7] Yibin Ying,et al. Near-infrared Spectroscopy in detecting Leaf Miner Damage on Tomato Leaf , 2007 .
[8] Hans-Hellmut Nagel,et al. Steps toward a Cognitive Vision System , 2004, AI Mag..
[9] Monique Thonnat,et al. A cognitive vision platform for automatic recognition of natural complex objects , 2003, Proceedings. 15th IEEE International Conference on Tools with Artificial Intelligence.
[10] Pablo M. Granitto,et al. Large-scale investigation of weed seed identification by machine vision , 2005 .
[11] Thomas Bernier,et al. A new method for representing and matching shapes of natural objects , 2003, Pattern Recognit..
[12] Norman C. Elliott,et al. Using digital image analysis and spectral reflectance data to quantify damage by greenbug (Hemitera: Aphididae) in winter wheat , 2006 .
[13] Ming-Hsuan Yang,et al. Incremental Learning for Robust Visual Tracking , 2008, International Journal of Computer Vision.
[14] Gustavo Belforte,et al. Robot Design and Testing for Greenhouse Applications , 2006 .
[15] Samhaa R. El-Beltagy,et al. Image analysis based interface for diagnostic expert systems , 2004 .
[16] D. Shtienberg,et al. Sampling and Monitoring Pests and Diseases , 1999 .
[17] Petra Perner,et al. Case-based object recognition for airborne fungi recognition , 2006, Artif. Intell. Medicine.
[18] P P Ling,et al. An automated plant monitoring system using machine vision. , 1996, Acta horticulturae.
[19] D. Straeten,et al. Imaging techniques and the early detection of plant stress. , 2000, Trends in plant science.
[20] Shabtai Bittman,et al. Automated monitoring of greenhouse crops , 2001 .
[21] Mahesh N. Rao,et al. Using ground-based multispectral radiometry to detect stress in wheat caused by greenbug (Homoptera: Aphididae) infestation , 2005 .
[22] Ning Wang,et al. Review: Wireless sensors in agriculture and food industry-Recent development and future perspective , 2006 .
[23] J. C. Lenteren,et al. Biological and Integrated Pest control in Greenhouses , 1988 .
[24] T. Bernier. Algorithmic recognition of biological objects , 2000 .
[25] C. Bauch,et al. PROTOTYPE OF A VISION BASED SYSTEM FOR MEASUREMENTS OF WHITE FLY INFESTATION , 2005 .
[26] Pol Coppin,et al. Detection of biotic stress (Venturia inaequalis) in apple trees using hyperspectral data: Non-parametric statistical approaches and physiological implications , 2007 .
[27] M. Thonnat,et al. An automated approach to monitoring the sanitary status and to detect early biological attacks on plants in greenhouses - examples on flower crops. , 2003 .
[28] E. Moya,et al. Assessment of the disease severity of squash powdery mildew through visual analysis, digital image analysis and validation of these methodologies , 2005 .
[29] J. C. van Lenteren,et al. Integrated Pest and Disease Management in Greenhouse Crops , 2020 .
[30] Monique Thonnat,et al. Ontology based complex object recognition , 2008, Image Vis. Comput..
[31] Hans-Hellmut Nagel,et al. A Framework for Model-Based Tracking Experiments in Image Sequences , 2007, International Journal of Computer Vision.
[32] Vincent Martin,et al. A Learning Approach for Adaptive Image Segmentation , 2006, Fourth IEEE International Conference on Computer Vision Systems (ICVS'06).
[33] A. Hanafi. INTEGRATED PRODUCTION AND PROTECTION TODAY AND IN THE FUTURE IN GREENHOUSE CROPS IN THE MEDITERRANEAN REGION , 2003 .
[34] Christine Poncet,et al. Rapid Visual Estimates of Thrips (Thysanoptera: Thripidae) Densities on Cucumber and Rose Crops , 2007, Journal of economic entomology.
[35] W. J. Ravensberg,et al. Knowing and Recognizing: The Biology of Glasshouse Pests and Their Natural Enemies , 2003 .
[36] J. C. Noordam,et al. Automated rose cutting in greenhouses with 3D vision and robotics: analysis of 3D vision techniques for stem detection , 2005 .
[37] David Vernon. The Space of Cognitive Vision , 2006, Cognitive Vision Systems.
[38] Gösta H. Granlund,et al. A Cognitive Vision Architecture Integrating Neural Networks with Symbolic Processing , 2005, Künstliche Intell..
[39] Gilles Rabatel,et al. AE—Automation and Emerging Technologies: Weed Leaf Image Segmentation by Deformable Templates , 2001 .
[40] Richard Lepage,et al. Knowledge-Based Image Understanding Systems: A Survey , 1997, Comput. Vis. Image Underst..