Detection system of smart sprayers: Status, challenges, and perspectives
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[1] Yibin Ying,et al. Near-infrared Spectroscopy in detecting Leaf Miner Damage on Tomato Leaf , 2007 .
[2] E. Moltó,et al. Development of a sensor-controlled sprayer for applying low-volume bait treatments , 2008 .
[3] J. Alex Thomasson,et al. Ground-based sensing system for weed mapping in cotton , 2008 .
[4] Frédéric Lebeau,et al. Improving in-row weed detection in multispectral stereoscopic images , 2009 .
[5] Durham K. Giles,et al. Targeted spray technology to reduce pesticide in runoff from dormant orchards , 2008 .
[6] M. Shaker,et al. Evaluation of Different Herbicide Application Methods and Cultivation Effect on Yield and Weed Control of Corn (Zea mays) , 2008 .
[7] F. J. Pierce,et al. The potential of spectral reflectance technique for the detection of Grapevine leafroll-associated virus-3 in two red-berried wine grape cultivars , 2009 .
[8] Durham K. Giles,et al. Pesticide Application Technology: Research and Development and the Growth of the Industry , 2008 .
[9] Yuri A. Gritz,et al. Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves. , 2003, Journal of plant physiology.
[10] S. Edward Law,et al. Electrostatic abatement of airborne respirable dust emission from mechanized tree-nut harvesting: Theoretical basis , 2009 .
[11] Ladislav Nedbal,et al. Towards Discrimination of Plant Species by Machine Vision: Advanced Statistical Analysis of Chlorophyll Fluorescence Transients , 2009, Journal of Fluorescence.
[12] F. G. Wijnands,et al. Integrated crop protection and environment exposure to pesticides: methods to reduce use and impact of pesticides in arable farming , 1997 .
[13] Kamarul Hawari Ghazali,et al. Machine Vision System for Automatic Weeding Strategy using Image Processing Technique , 2008 .
[14] D. Giles,et al. Effects of conventional and reduced-volume, charged-spray application techniques on dislodgeable foliar residue of captan on strawberries , 1991 .
[15] Minzan Li,et al. Detection of soybean rust using a multispectral image sensor , 2009 .
[16] David A. Andow,et al. Environmental and social costs of pesticides: A preliminary assessment , 1980 .
[17] Roberto Oberti,et al. Plant disease detection based on data fusion of hyper-spectral and multi-spectral fluorescence imaging using Kohonen maps , 2005, Real Time Imaging.
[18] L. Tian,et al. A Review on Remote Sensing of Weeds in Agriculture , 2004, Precision Agriculture.
[19] Lei Tian. Development of a sensor-based precision herbicide application system , 2002 .
[20] Gunter Menz,et al. Multi-temporal wheat disease detection by multi-spectral remote sensing , 2007, Precision Agriculture.
[21] B Huyghebaert,et al. Comparative performance of recycling tunnel and conventional sprayers using standard and drift-mitigating nozzles in dwarf apple orchards , 2010 .
[22] Christine Onyango,et al. Image Processing Performance Assessment Using Crop Weed Competition Models , 2005, Precision Agriculture.
[23] Reza Ehsani,et al. Mid-infrared spectroscopy for detection of Huanglongbing (greening) in citrus leaves. , 2010, Talanta.
[24] P. Zimba,et al. Detecting Sugarcane yellow leaf virus infection in asymptomatic leaves with hyperspectral remote sensing and associated leaf pigment changes. , 2010, Journal of virological methods.
[25] S. Edward Law,et al. Agricultural electrostatic spray application: a review of significant research and development during the 20th century , 2001 .
[26] Ning Wang,et al. DESIGN OF AN OPTICAL WEED SENSOR USINGPLANT SPECTRAL CHARACTERISTICS , 2001 .
[27] D. Straeten,et al. Seeing is believing: imaging techniques to monitor plant health. , 2001, Biochimica et biophysica acta.
[28] Reyer Zwiggelaar,et al. A review of spectral properties of plants and their potential use for crop/weed discrimination in row-crops , 1998 .
[29] Robert D. Grisso,et al. The Cost of Misapplication of Herbicides , 1989 .
[30] Peter J. A. Kleinman,et al. Environmental and economic effects of reducing pesticide use in agriculture**Reprinted with permission from BioScience. Pimentel, D. et al., 1991. Environmental and economic effects of reducing pesticide use. BioScience, 41(6): 402–409. , 1993 .
[31] C. Sinfort,et al. Emission of pesticides to the air during sprayer application: A bibliographic review , 2005 .
[32] Yud-Ren Chen,et al. Machine vision technology for agricultural applications , 2002 .
[33] N. Elliott,et al. Original papers: Differentiating stress induced by greenbugs and Russian wheat aphids in wheat using remote sensing , 2009 .
[34] Gang Wu,et al. Review of Application of Mathematical Morphology in Crop Disease Recognition , 2008, CCTA.
[35] Richard C. H. Connor,et al. On the Integration of Object-Oriented and Process-Oriented Computation in Persistent Environments , 1988, OODBS.
[36] Peter J. A. Kleinman,et al. Environmental and economic effects of reducing pesticide use in agriculture , 1993, Agriculture, Ecosystems & Environment.
[37] J. Mumford,et al. Pesticide Environmental Accounting: a method for assessing the external costs of individual pesticide applications. , 2008, Environmental pollution.
[38] J. De Baerdemaeker,et al. Weed Detection Using Canopy Reflection , 2002, Precision Agriculture.
[39] Masoud Salyani,et al. DEVELOPMENT OF A LASER SCANNER FOR MEASURING TREE CANOPY CHARACTERISTICS: PHASE 2. FOLIAGE DENSITY MEASUREMENT , 2005 .
[40] S. Thomson,et al. United States Department of Agriculture-Agricultural Research Service research in application technology for pest management. , 2003, Pest management science.
[41] David Pimentel,et al. Environmental and Economic Benefits of Reducing Pesticide Use , 1991 .
[42] J. Netland,et al. BAND SPRAYING, SELECTIVE FLAME WEEDING AND HOEING IN LATE WHITE CABBAGE PART II , 1994 .
[43] I. M. Scotford,et al. Applications of Spectral Reflectance Techniques in Northern European Cereal Production: A Review , 2005 .
[44] Paul D. Ayers,et al. Evaluation of Deposition and Application Accuracy of A Pulse Width Modulation Variable Rate Field Sprayer , 2001 .
[45] Farm Advisor,et al. Multispectral Machine Vision Identification of Lettuce and Weed Seedlings for Automated Weed Control , 2008 .
[46] Paul D. Ayers,et al. INTEGRATING GIS AND GPS INTO A SPATIALLY VARIABLE RATE HERBICIDE APPLICATION SYSTEM , 1998 .
[47] E. Oerke,et al. Digital infrared thermography for monitoring canopy health of wheat , 2007, Precision Agriculture.
[48] Q. Zaman,et al. Software development for real-time ultrasonic mapping of tree canopy size , 2005 .
[49] G. Martelli,et al. Major graft-transmissible diseases of grapevines: nature, diagnosis, and sanitation , 2001 .
[50] Quy D. Bui,et al. VariTarget – A New Nozzle with Variable Flow Rate and Droplet Optimization , 2005 .
[51] Suziah Sulaiman,et al. Weed Recognition Based on Erosion and Dilation Segmentation Algorithm , 2009, 2009 International Conference on Education Technology and Computer.
[52] D. Sims,et al. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages , 2002 .
[53] Won Suk Lee,et al. Original paper: Diagnosis of bacterial spot of tomato using spectral signatures , 2010 .
[54] Ryszard Hołownicki,et al. PA—Precision Agriculture: Variation of Spray Deposit and Loss with Air-jet Directions applied in Orchards , 2000 .
[55] Di Cui,et al. Image processing methods for quantitatively detecting soybean rust from multispectral images , 2010 .
[56] L. Tian,et al. Evaluation of a flow control system for site-specific herbicide applications , 1999 .
[57] Qamar-uz- Zaman,et al. Performance of an Ultrasonic Tree Volume Measurement System in Commercial Citrus Groves , 2005, Precision Agriculture.
[58] Eike Luedeling,et al. Remote Sensing of Spider Mite Damage in California Peach Orchards Keywords: Aerial Imagery Integrated Pest Management Partial Least Squares (pls) Regression Prunus Persica Remote Sensing Spectral Reflectance Spectroradiometer , 2022 .
[59] S. Christensen,et al. Colour and shape analysis techniques for weed detection in cereal fields , 2000 .
[60] Qamar Uz Zaman,et al. Quantifying Sources of Error in Ultrasonic Measurements of Citrus Orchards , 2007 .
[61] David C. Slaughter,et al. X-Ray Based Stem Detection in an Automatic Tomato Weeding System , 2011 .
[62] Scott A. Shearer,et al. BACKPROPAGATION NEURAL NETWORK DESIGN AND EVALUATION FOR CLASSIFYING WEED SPECIES USING COLOR IMAGE TEXTURE , 2000 .
[63] Paolo Menesatti,et al. Thermography to analyze distribution of agricultural sprayers , 2008 .
[64] Qamar Uz Zaman,et al. Quantifying Sources of Error in Ultrasonic Measurements of Citrus Orchards , 2005 .
[65] H. Ramon,et al. Automatic detection of ‘yellow rust’ in wheat using reflectance measurements and neural networks , 2004 .
[66] Alberto Tellaeche,et al. A vision-based method for weeds identification through the Bayesian decision theory , 2008, Pattern Recognit..
[67] Reza Ehsani,et al. Review: A review of advanced techniques for detecting plant diseases , 2010 .
[68] E. Franz,et al. THE USE OF LOCAL SPECTRAL PROPERTIES OF LEAVES AS AN AID FOR IDENTIFYING WEED SEEDLINGS IN DIGITAL IMAGES , 1990 .
[69] Zhihao Qin,et al. Detection of rice sheath blight for in-season disease management using multispectral remote sensing , 2005 .
[70] Hiroshi Okamoto,et al. Plant classification for weed detection using hyperspectral imaging with wavelet analysis , 2007 .
[71] G. Matthews,et al. Elestrostatic spraying of pesticides: A review , 1989 .
[72] J. V. Stafford,et al. Implementing precision agriculture in the 21st century. , 2000 .
[73] Hervé Nicolas,et al. Using remote sensing to determine of the date of a fungicide application on winter wheat , 2004 .
[74] James W. Shrefler,et al. Spiny Amaranth (Amaranthus spinosus L.), A Serious Competitor to Crisphead Lettuce (Lactuca sativa L.) , 1996 .
[75] J M Shutske,et al. The impact of biotechnology on agricultural worker safety and health. , 2002, Journal of agricultural safety and health.
[76] Jeremy S. Smith,et al. Image pattern classification for the identification of disease causing agents in plants , 2009 .
[77] John F. Reid,et al. DEVELOPMENT OF A PRECISION SPRAYER FOR SITE-SPECIFIC WEED MANAGEMENT , 1999 .
[78] L. Plümer,et al. Original paper: Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance , 2010 .
[79] F. Truchetet,et al. Modelling agronomic images for weed detection and comparison of crop/weed discrimination algorithm performance , 2009, Precision Agriculture.
[80] Muhammad Islam,et al. Edge based Real-Time Weed Recognition System for Selective Herbicides , 2008 .
[81] David C. Slaughter,et al. Hyperspectral Imaging System for Precision Weed Control in Processing Tomato , 2009 .
[82] David C. Slaughter,et al. Autonomous robotic weed control systems: A review , 2008 .
[83] J. Marchant,et al. Segmentation of row crop plants from weeds using colour and morphology , 2003 .
[84] Z. Niu,et al. Identification of yellow rust in wheat using in-situ spectral reflectance measurements and airborne hyperspectral imaging , 2007, Precision Agriculture.
[85] al-Saleh Ia,et al. Pesticides: a review article. , 1994 .
[86] Frédéric Lebeau,et al. Selection of the most efficient wavelength bands for discriminating weeds from crop , 2008 .
[87] Muhammad Hameed Siddiqi,et al. Weed Classification Using Erosion and Watershed Segmentation Algorithm , 2008 .
[88] H. Ramon,et al. Early Disease Detection in Wheat Fields using Spectral Reflectance , 2003 .
[89] Hamed Hamid Muhammed,et al. Hyperspectral Crop Reflectance Data for characterising and estimating Fungal Disease Severity in Wheat , 2005 .
[90] David Pimentel,et al. Environmental and Economic Costs of Pesticide Use , 1992 .
[91] N. Chang,et al. Combination of multispectral remote sensing, variable rate technology and environmental modeling for citrus pest management. , 2008, Journal of environmental management.
[92] Wenhua Mao,et al. Weed Detection Based on the Optimized Segmentation Line of Crop and Weed , 2007, CCTA.