Leaf nitrogen determination using non-destructive techniques–A review
暂无分享,去创建一个
Daniel K. Y. Tan | Ahmed Al-Ani | Derek Eamus | D. Tan | D. Eamus | M. M. Ali | A. al-ani
[1] Shiv O. Prasher,et al. Potential of airborne hyperspectral remote sensing to detect nitrogen deficiency and weed infestation in corn , 2003 .
[2] A. J. Haverkort,et al. Decision support systems in potato production - bringing models to practice , 2004 .
[3] E. V. Lukina,et al. Improving Nitrogen Use Efficiency in Cereal Grain Production with Optical Sensing and Variable Rate Application , 2002 .
[4] Johanna Link,et al. Assessment of cereal nitrogen requirements derived by optical on-the-go sensors on heterogeneous soils , 2006 .
[5] Makoto Nakatani,et al. An Algorithm for Estimating Chlorophyll Content in Leaves Using a Video Camera , 1998 .
[6] James E. McMurtrey,et al. Comparison of remote sensing imagery for nitrogen management. , 2003 .
[7] R. H. Fox,et al. Using a chlorophyll meter to predict nitrogen fertilizer needs of winter wheat , 1994 .
[8] Humberto Bustince,et al. New method to assess barley nitrogen nutrition status based on image colour analysis , 2009 .
[9] B. R. Roberts,et al. RELATIONSHIPS BETWEEN REMOTELY SENSED REFLECTANCE DATA AND COTTON GROWTH AND YIELD , 2000 .
[10] Yuncong C. Li,et al. A Rapid Nondestructive Technique to Predict Leaf Nitrogen Status of Grapefruit Tree with Various Nitrogen Fertilization Practices , 1998 .
[11] Osvaldo Kiyoshi Yamanishi,et al. Portable chlorophyll meter for the quantification of photosynthetic pigments, nitrogen and the possible use for assessment of the photochemical process in Carica papaya L. , 2002 .
[12] E. DeLucia,et al. A method for quantitative analysis of spatially variable physiological processes across leaf surfaces , 2007, Photosynthesis Research.
[13] J. Stafford,et al. Optimum waveband selection for determining the nitrogen uptake in winter wheat by active remote sensing. , 2005 .
[14] S. Ustin,et al. Detection of stress in tomatoes induced by late blight disease in California, USA, using hyperspectral remote sensing , 2003 .
[15] Paul Gibson,et al. Introductory Remote Sensing Principles and Concepts , 2000 .
[16] Philip A. Townsend,et al. Leaf optical properties reflect variation in photosynthetic metabolism and its sensitivity to temperature , 2011, Journal of experimental botany.
[17] B. Wells,et al. Nitrogen Use in Flooded Rice Soils , 2015 .
[18] Z. Schmilovitch,et al. In-Field Assessment of Single Leaf Nitrogen Status by Spectral Reflectance Measurements , 2005, Precision Agriculture.
[19] N. Tremblay,et al. MAPPING SPATIAL VARIATION IN POTATO NITROGEN STATUS USING THE N SENSOR , 2003 .
[20] P. C. Robert. Precision agriculture: a challenge for crop nutrition management , 2002 .
[21] Xin-ping Chen,et al. Using High-Resolution Satellite Imaging to Evaluate Nitrogen Status of Winter Wheat , 2007 .
[22] G. Henebry,et al. Land surface phenologies in uzbekistand and Turkmenistan between 1982 and 1999 , 2005 .
[23] C. W. Wood,et al. Chlorophyll meter predicts nitrogen status of tall fescue , 1996 .
[24] Zhihao Qin,et al. Detection of rice sheath blight for in-season disease management using multispectral remote sensing , 2005 .
[25] James S. Schepers,et al. Detection of Phosphorus and Nitrogen Deficiencies in Corn Using Spectral Radiance Measurements , 2002 .
[26] O. Oenema,et al. Does the crop or the soil indicate how to save nitrogen in maize production? Reviewing the state of the art , 2000 .
[27] James E. McMurtrey,et al. Agricultural Remote Sensing using Radio-Controlled Model Aircraft , 2015 .
[28] M. Richardson,et al. Quantifying Turfgrass Color Using Digital Image Analysis , 2003 .
[29] J. E. Diaz-Lago,et al. Evaluation of Components of Partial Resistance to Oat Crown Rust Using Digital Image Analysis. , 2003, Plant disease.
[30] Jean Rousselle,et al. Mapping near‐surface soil moisture with RADARSAT‐1 synthetic aperture radar data , 2004 .
[31] B. Hoel. Chlorophyll Meter Readings in Winter Wheat: Cultivar Differences and Prediction of Grain Protein Content , 2002 .
[32] J. Hemming,et al. PA—Precision Agriculture: Computer-Vision-based Weed Identification under Field Conditions using Controlled Lighting , 2001 .
[33] Shufeng Han,et al. DYNAMIC CALIBRATION AND IMAGE SEGMENTATION METHODS FOR MULTISPECTRAL IMAGING CROP NITROGEN DEFICIENCY SENSORS , 2005 .
[34] Wu Feibo,et al. Chlorophyll meter to predict nitrogen sidedress requirements for short-season cotton (Gossypium hirsutum L.) , 1998 .
[35] P. Robert,et al. Tractor-mounted multispectral scanner for remote field investigation. , 2003 .
[36] J. Peñuelas,et al. Remote sensing of biomass and yield of winter wheat under different nitrogen supplies , 2000 .
[37] E. Justes,et al. Relationship Between the Normalized SPAD Index and the Nitrogen Nutrition Index: Application to Durum Wheat , 2006 .
[38] H. Nilsson. Remote sensing and image analysis in plant pathology. , 1995, Annual review of phytopathology.
[39] A. Gitelson,et al. Derivation of pasture biomass in Mongolia from AVHRR-based vegetation health indices , 2004 .
[40] Roger Sylvester-Bradley,et al. Physiological Processes Associated with Wheat Yield Progress in the UK , 2005, Crop Science.
[41] J. C. Taylor,et al. Precision Farming of Cereal Crops: a Review of a Six Year Experiment to develop Management Guidelines , 2003 .
[42] F. T. Turner,et al. Assessing the nitrogen requirements of rice crops with a chlorophyll meter , 1994 .
[43] C. Daughtry,et al. Remote- and Ground-Based Sensor Techniques to Map Soil Properties , 2003 .
[44] R. Cabrera,et al. Rapid direct determination of ammonium and nitrate in soil and plant tissue extracts , 1990 .
[45] R. Kammereck,et al. Use of Minolta SPAD-502 chlorophyll meter to quantify the effectiveness of mid-summer trunk injection of iron on chlorotic pear trees , 1997 .
[46] Haruhiko Yamamoto,et al. The Diagnosis of Optimal Harvesting Time of Rice Using Digital Imaging , 2005 .
[47] Norman C. Elliott,et al. Using digital image analysis and spectral reflectance data to quantify damage by greenbug (Hemitera: Aphididae) in winter wheat , 2006 .
[48] J. Schepers,et al. Comparison of corn leaf nitrogen concentration and chlorophyll meter readings , 1992 .
[49] J. Goffart,et al. Management of N fertilization of the potato crop using total N-advice software and in-season chlorophyll-meter measurements. , 2004 .
[50] D. Swain,et al. Development Of Spad Values Of Medium- And Long-Duration Rice Variety For Site-Specific Nitrogen Management , 2010 .
[51] J. Araus,et al. Spectral vegetation indices as nondestructive tools for determining durum wheat yield. , 2000 .
[52] Yadvinder-Singh,et al. Need based nitrogen management using the chlorophyll meter and leaf colour chart in rice and wheat in South Asia: a review , 2010, Nutrient Cycling in Agroecosystems.
[53] R. Sivasamy,et al. Chlorophyll Dynamics in Rice (Oryza sativa) Before and After Flowering Based on SPAD (Chlorophyll) Meter Monitoring and its Relation with Grain Yield , 2002 .
[54] M. Bauer,et al. Comparison of petiole nitrate concentrations, SPAD chlorophyll readings, and QuickBird satellite imagery in detecting nitrogen status of potato canopies , 2007 .
[55] J. Stafford,et al. A method for recognizing vegetal species from multispectral images. , 1999 .
[56] Beom-Soo Shin,et al. Multispectral image sensor for detection of nitrogen deficiency in corn by using an empirical line method , 2003 .
[57] H. Pleijel,et al. Evaluating the relationship between leaf chlorophyll concentration and SPAD-502 chlorophyll meter readings , 2007, Photosynthesis Research.
[58] Mark Trotter,et al. Objective biomass assessment using an active plant sensor (Crop Circle™) - preliminary experiences on a variety of agricultural landscapes , 2008 .
[59] R. Myneni,et al. Investigation of a model inversion technique to estimate canopy biophysical variables from spectral and directional reflectance data , 2000 .
[60] J. S. Schepers,et al. G93-1171 Using a Chlorophyll Meter to Improve N Management , 1993 .
[61] Edward M. Barnes,et al. Method for Using Images from a Color Digital Camera to Estimate Flower Number , 2000 .
[62] Enrique Rico-García,et al. Nitrogen determination on tomato (Lycopersicon esculentum Mill.) seedlings by color image analysis (RGB) , 2010 .
[63] W. Raun,et al. Relationship Between Coefficient of Variation Measured by Spectral Reflectance and Plant Density at Early Growth Stages in Winter Wheat , 2006 .
[64] Chun-Chong Fu,et al. Simultaneous estimation of chlorophyll a and lipid contents in microalgae by three-color analysis. , 2008, Biotechnology and bioengineering.
[65] John B. Solie,et al. Late-season Prediction Of Wheat Grain Yield And Grain Protein , 2003 .
[66] Kenneth G. Cassman,et al. Adjustment for Specific Leaf Weight Improves Chlorophyll Meter's Estimate of Rice Leaf Nitrogen Concentration , 1993 .
[67] V. Kakani,et al. Selection of Optimum Reflectance Ratios for Estimating Leaf Nitrogen and Chlorophyll Concentrations of Field-Grown Cotton , 2005 .
[68] Thomas J. Jackson,et al. Sensor development and radiometric correction for agricultural applications , 2003 .
[69] Josep Peñuelas,et al. Evaluating Wheat Nitrogen Status with Canopy Reflectance Indices and Discriminant Analysis , 1995 .
[70] P. Robert. Precision agriculture: a challenge for crop nutrition management , 2002, Plant and Soil.
[71] Jianliang Huang,et al. Using Leaf Color Charts to Estimate Leaf Nitrogen Status of Rice , 2003 .
[72] Nicolas Tremblay,et al. Strategies to Make Use of Plant Sensors-Based Diagnostic Information for Nitrogen Recommendations , 2009 .
[73] Lynn M. Resler. Remote Sensing and Image Analysis: 4th Edition. T.M. Lillesand and R.W. Kiefer. John Wiley and Sons, New York, 2000. 736 pp. ISBN: 0471255157 , 2002 .
[74] Satya Prakash Yadav,et al. Estimation of the chlorophyll content of micropropagated potato plants using RGB based image analysis , 2010, Plant Cell, Tissue and Organ Culture (PCTOC).
[75] R. T. Cruz,et al. On-farm adaptation of knowledge-intensive nitrogen management technologies for rice systems , 2004, Nutrient Cycling in Agroecosystems.
[76] Won Suk Lee,et al. ASSESSING NITROGEN STRESS IN CORN VARIETIES OF VARYING COLOR , 1999 .
[77] J. Dungan,et al. The effect of a red leaf pigment on the relationship between red edge and chlorophyll concentration , 1991 .
[78] A. Gitelson,et al. Use of a green channel in remote sensing of global vegetation from EOS- MODIS , 1996 .
[79] A. J. S. McDonald,et al. Weed and crop discrimination using image analysis and artificial intelligence methods , 2003 .
[80] D. Mulla. Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps , 2013 .
[81] M. B. Ramirez. Monitoring Nitrogen Levels in the Cotton Canopy using Real-Time Active-Illumination Spectral Sensing , 2010 .
[82] B. Govaerts,et al. The normalized difference vegetation index (NDVI) Greenseeker(TM) handheld sensor: toward the integrated evaluation of crop management. Part A - Concepts and case studies , 2010 .
[83] Muhammad Islam,et al. Real-Time Specific Weed Recognition System Using Histogram Analysis , 2008 .
[84] John B. Solie,et al. Effect of row spacing, growth stage, and nitrogen rate on spectral irradiance in winter wheat , 2000 .
[85] Gregory A. Carter,et al. General Spectral Characteristics of Leaf Reflectance Responses to Plant Stress and Their Manifestation at the Landscape Scale , 2002 .
[86] M. Edrees. DETERMINATION OF SPECTRAL CHARACTERISTICS OF WINTER WHEAT CANOPY , 2013 .
[87] Kenneth A. Sudduth,et al. Sensor‐Based Nitrogen Applications Out‐Performed Producer‐Chosen Rates for Corn in On‐Farm Demonstrations , 2011 .
[88] A. Hlinku. The Evaluation of Ground Based Remote Sensing Systems for Canopy Nitrogen Management in Winter Wheat - Economic Efficiency , 2007 .
[89] A. Thomsen,et al. Algorithms for sensor-based redistribution of nitrogen fertilizer in winter wheat , 2006, Precision Agriculture.
[90] C. W. Wood,et al. Tomato leaf chlorophyll meter readings as affected by variety, nitrogen form, and nighttime nutrient solution strength , 2000 .
[91] Rainer Laudien,et al. COMPARISON OF REMOTE SENSING BASED ANALYSIS OF CROP DISEASES BY USING HIGH RESOLUTION MULTISPECTRAL AND HYPERSPECTRAL DATA - CASE STUDY: RHIZOCTONIA SOLANI IN SUGAR BEET - , 2004 .
[92] Ian J. Yule,et al. A comparison of the performance of VIS/NIR sensors used to inform nitrogen fertilization strategies. , 2012 .
[93] Ronnie W. Heiniger,et al. Quantitative Approaches for Using Color Infrared Photography for Assessing In‐Season Nitrogen Status in Winter Wheat , 2003 .
[94] M. Mahallati,et al. Evaluation of chlorophyll meter (spad) for predicts Nitrogen status of corn (Zea mays L.) In the Fie , 2007 .
[95] Pierre Hiernaux,et al. Non-destructive measurement of plant growth and nitrogen status of pearl millet with low-altitude aerial photography , 1997 .
[96] R. Godwin,et al. The Evaluation of Ground Based Remote Sensing Systems for Canopy Nitrogen Management in Winter Wheat - Economic Efficiency , 2007 .
[97] Charlie Walker,et al. Estimating the nitrogen status of crops using a digital camera , 2010 .
[98] N. Zhang,et al. Precision agriculture—a worldwide overview , 2002 .
[99] E. B. Knipling. Physical and physiological basis for the reflectance of visible and near-infrared radiation from vegetation , 1970 .
[100] Scott C. Chapman,et al. Using a Chlorophyll Meter to Estimate Specific Leaf Nitrogen of Tropical Maize during Vegetative Growth , 1997 .
[101] G. Griffiths,et al. TEMPORAL MONITORING OF SOIL MOISTURE USING ERS‐1 SAR DATA , 1996 .
[102] R. Sui,et al. MULTI-SPECTRAL SENSOR FOR DETECTION OF NITROGEN STATUS IN COTTON , 2005 .
[103] R. Nagarajan,et al. Adaptation of the chlorophyll meter (SPAD) technology for real-time N management in rice: a review. , 2000 .
[104] F. C. BAWDEN,et al. Infra-Red Photography and Plant Virus Diseases , 1933, Nature.
[105] R. W. Whitney,et al. Use of Spectral Radiance for Correcting In-season Fertilizer Nitrogen Deficiencies in Winter Wheat , 1996 .
[106] Peng Gong,et al. Remote Sensing and Image Analysis , 1994 .
[107] M. S. Moran,et al. Opportunities and limitations for image-based remote sensing in precision crop management , 1997 .
[108] L. Tian,et al. Evaluation of a flow control system for site-specific herbicide applications , 1999 .
[109] Z. Yanga,et al. Using ground-based multispectral radiometry to detect stress in wheat caused by greenbug ( Homoptera : Aphididae ) infestation , 2005 .
[110] Moon S. Kim,et al. Ratio analysis of reflectance spectra (RARS): An algorithm for the remote estimation of the concentrations of chlorophyll A, chlorophyll B, and carotenoids in soybean leaves , 1992 .
[111] Luis Miguel Contreras-Medina,et al. A Review of Methods for Sensing the Nitrogen Status in Plants: Advantages, Disadvantages and Recent Advances , 2013, Sensors.
[112] P. Scharf,et al. Calibrating Corn Color from Aerial Photographs to Predict Sidedress Nitrogen Need , 2002 .
[113] U. Schmidhalter,et al. Evaluation of mapping and one-line nitrogen fertilizer application strategies in multi-year and multi-location static field trials for increasing nitrogen use efficiency of cereals , 2005 .
[114] C. W. Wood,et al. Determination of wheat nitrogen status with a hand‐held chlorophyll meter: Influence of management practices 1 , 1993 .
[115] T. Karak,et al. Management of Nitrogen Through the Use of Leaf Color Chart (LCC) and Soil Plant Analysis Development (SPAD) or Chlorophyll Meter in Rice Under Irrigated Ecosystem , 2004, TheScientificWorldJournal.
[116] Wilhelm Claupein,et al. Evaluation of Image Analysis to Determine the N-Fertilizer Demand of Broccoli Plants (Brassica oleracea convar. botrytis var. italica) , 2008 .
[117] R. B. Jackson,et al. Methods in Ecosystem Science , 2000, Springer New York.
[118] J F Reid,et al. Research Articles : On - field Crop Stress Detection System Using Multi - spectral Imaging Sensor , 2000 .
[119] J. Sieczka,et al. Field chlorophyll measurements to assess the nitrogen status of potato varieties , 1994 .
[120] John E. Sawyer,et al. Using Relative Chlorophyll Meter Values to Determine Nitrogen Application Rates for Corn , 2007 .
[121] B. Yoder,et al. Predicting nitrogen and chlorophyll content and concentrations from reflectance spectra (400–2500 nm) at leaf and canopy scales , 1995 .
[122] John B. Solie,et al. Identifying an In-Season Response Index and the Potential to Increase Wheat Yield with Nitrogen , 2003 .
[123] F. T. Turner,et al. Chlorophyll Meter to Predict Nitrogen Topdress Requirement for Semidwarf Rice , 1991 .
[124] Pierre Roumet,et al. Assessing leaf nitrogen content and leaf mass per unit area of wheat in the field throughout plant cycle with a portable spectrometer , 2013 .
[125] Kelly R. Thorp,et al. Precision Agriculture , 2014, Encyclopedia of Remote Sensing.
[126] W. E. Stevens,et al. Within-field nitrogen response in corn related to aerial photograph color , 2010, Precision Agriculture.
[127] Wiesnerová Dana,et al. Computer image analysis of seed shape and seed color for flax cultivar description , 2008 .
[128] Carlos H. Blazquez,et al. Spectral reflectance of healthy and diseased watermelon leaves , 1986 .
[129] T. Yoneyama,et al. Measurement of Leaf Color Scores and Its Implication to Nitrogen Nutrition of Rice Plants , 1989 .
[130] G. Anderson,et al. Mapping Grain Sorghum Yield Variability Using Airborne Digital Videography , 2000, Precision Agriculture.
[131] Forrest W. Nutter,et al. Relationships between defoliation, leaf area index, canopy reflectance, and forage yield in the alfalfa-leaf spot pathosystem , 2002 .
[132] L. Tian,et al. DETECTION OF NITROGEN STRESS IN CORN USING DIGITAL AERIAL IMAGING , 1998 .
[133] L. Tian,et al. A Review on Remote Sensing of Weeds in Agriculture , 2004, Precision Agriculture.
[134] T. Hague,et al. A field assessment of a potential method for weed and crop mapping on the basis of crop planting geometry , 2001 .
[135] L. Silva,et al. Light ray tracing through a leaf cross section. , 1973, Applied optics.
[136] P. Pinter,et al. Measuring Wheat Senescence with a Digital Camera , 1999 .
[137] J. C. Taylor,et al. Real-time Measures of Canopy Size as a Basis for Spatially Varying Nitrogen Applications to Winter Wheat sown at Different Seed Rates , 2003 .
[138] V. Varel. Use of urease inhibitors to control nitrogen loss from livestock waste , 1997 .
[139] Douglas E. Karcher,et al. Quantifying Turfgrass Cover Using Digital Image Analysis , 2001 .
[140] B. Govaerts,et al. The normalized difference vegetation index (NDVI) Greenseeker(TM) handheld sensor: toward the integrated evaluation of crop management part B - user guide , 2010 .
[141] M. C. Quilter,et al. Low altitude/large scale aerial photographs: a tool for range and resource managers. , 2000 .
[142] Shoji Furuya,et al. Growth Diagnosis of Rice Plants by Means of Leaf Color , 1987 .
[143] H. Gausman,et al. LEAF REFLECTANCE OF NEAR-INFRARED , 1974 .
[144] Sebastian Kipp,et al. The performance of active spectral reflectance sensors as influenced by measuring distance, device temperature and light intensity , 2014 .
[145] Jianliang Huang,et al. Determination of optimal nitrogen rate for rice varieties using a chlorophyll meter , 2008 .
[146] Andreas Buerkert,et al. Use of Digital Camera to Assess Nitrogen Status of Winter Wheat in the Northern China Plain , 2004 .