Last update - 6/30/2016

Adcock, T.E., Nutter, F.W. Jr., and Banks, P.A. 1989. Measuring Herbicide Injury to Soybeans using a Hand-held Multispectral Radiometer. Weed Science Vol. 38.
Aquino, V.M., F.M. Shokes, R.D. Berger, D.W. Gorbet, and T.A. Kucharek 1992. Relationships Among Late Leafspot, Healthy Leaf Area Duration, Canopy Reflectance, and Pod Yield of Peanut. Phytopathology 82:546-552
Archer, T.L. (Principle Investigator), Texas Agricultural Experiment Station Texas A&M University Research Extension Center, Cooperators: Lubbock – K. F. Bronson, E. D. Bynum, R. Lascano, S, Machado, H. Nguyen, B. Payne, G. Peterson, D. Rosenow, E. Segarra, C. Trostle, W. Xu, Halfway – J. Bordovsky, D. Nesmith, Beaumont – T. Wilson Agencies: Texas Agricultural Experiment Station and Texas Agricultural Extension Service Primary Research Locations: Halfway and Helms, 2000 Project Title: Precision Agriculture on Summer Grain Crops, The Texas A&M University System – Agriculture Program Annual Reports - 2000
Belford, R.K., E.R. Harvey and P. Di Prinzio, Western Australian Department of Agriculture, Baron Hay Court, South Perth, W.A. 6151. Remote Sensing of Crop Biomass with a hand-held Multispectral Radiometer. Proceedings 7th Australian Agronomy Conference Adelaide, Australia. 1993 p. 392.
Bertholdsson*, N.O., 1999. Characterization of malting barley cultivars with more or less stable grain protein content under varying environmental conditions [pdf], European Journal of Agronomy 10 (1999) 1–8,
* Svalof Weibull AB, Nilsson-Ehle Laboratory, SE-268 8I, Svalov, Sweden
Booltink, H.W.G, Verhagen, J., Epema, G.F., Bouma, J., Wageningen Agricultural University, Dept. of Soil Science and Geology. 1996. Remote Sensing for Optimal Agrochemical Use at Farm Level, BCRS project 3.2/TO-08, BCRS report 95-30, ISBN 90 5411 183 6, July 1996.
Bouman, B.A.M., H.W.J. van Kasteren and D. Uenk, 1992. Standard Relations to Estimate Ground Cover and LAI of Agricultural Crops from Reflectance Measurements. European Journal of Agronomy, 1992, 1(4), 249-262.
Bouman, B.A.M., D. Uenk and A.J. Haverkort, 1992. The Estimation of Ground Cover of Potato by Reflectance measurements. Potato Research 35 (1992) 111-125.
Bronson*1, Kevin.F, Booker*1, J.D., Keeling*1, J. Wayne, Boman*2, Randy K., Wheeler*1, Terry A., Lascano*1, Robert. J., and Nichols*3, Robert L., 2005. Cotton Canopy Reflectance at Landscape Scale as Affected by Nitrogen Fertilization. AgronJ 97:654-660 (2005).
*1 Texas A&M Univ. Texas Agric. Exp. Stn., RR 3, Box 219, Lubbock, TX 79403
*2 Texas Coop. Ext., RR 3, Box 213AA, Lubbock, TX 79403
*3 Cotton Inc. World Headquarters, 6399 Weston Parkway, Cary, NC 27513
Corresponding author(
Bronson*, K.F, Chua, T.T, Booker, J.D., Keeling, J.W. and Lascano, R.J., 2003. In-Season Nitrogen Status Sensing in Irrigated Cotton. Soil Sci. Soc. Am. J. 67:1439-1448 (2003).
* Corresponding author(
Bryant*, C. and Bryant, J., 2012. Remote Sensing and Tropical Leaf Phenology: A PhD in the Amazonian Canopy, a short video documentary about Cecilia Chavana-Bryant's doctoral research project in the Amazonian canopy.
* Environmental Change Institute University of Oxford, SoGE South Parks Road, Oxford, OX1 3QY, United Kingdom
Jake Bryant, and
Canteri, M.G., Vitti, A.J., Amorim, L., Bergamin Filho, A., 1999. Reflectance and visual assessment as indicators of severity of leaf diseases compared to yield in peanut., Summa Phytopathologica, v. 25, p. 228-233, 1999.
Carlsson, Anneli and H.-E. Nilsson, Dept. of Plant Protection, Swedish Univ. of Agric. Sci. Box 7044, S-75007 Uppsala, Sweden. 1993 Remote Sensing of Agricultural Field Plot Experiments. Poster Session - 6th International Congress of Plant Pathology, Montreal, Canada, 8/93.
Chang, J., Clay, D.E., Leigh, L., Aaron D., Dalsted, K., and Volz, M., 2008. Evaluating modified atmospheric correction methods for Landsat imagery: Image-based and model-based calibration methods. Communications in Soil Science and Plant Analysis. 39:1532-1545.
Chang, J., Clay, S.A., Clay, D.E., Aaron, D., Helder, D., and Dalsted, K. 2005. Clouds Influence Precision and Accuracy of Ground-Based Spectroradiometers. [pdf] Commun. Soil Sci. Plant Anal. 36:1799-1807.
Chang, Jiyul, Clay, Sharon A., Clay, David E., Dalsted, Kevin, 2002, Detecting weed-free and weed-infested areas of a soybean field using near-infrared spectral data [pdf] Weed Science Issn: 0043-1745 Volume: 52 Issue: 4 Pages: 642-648
Chen*1, Yun and Gillieson*1, David, 1998. Correlation of Vegetation Cover Measurements to Ground Reflectance Using TM Wavebands, Poster Presentation at 9th Australasian Remote Sensing and Photogrammetry Conference,
*1 Australian Defence Force Academy (Australia)
Clay, D.E.*, S.A. Clay, J. Jackson, K. Dalsted, C. Reese, Z. Liu, D.D. Malo, and C.G. Carlson, 2002. Discrimination And Remote Sensing Can be Used To Evaluate Soybean Yield Variability
*Plant Science Department, South Dakota State University, Brookings, South Dakota, 57007, Presented at the 6th International Conference on Precision Agriculture, July 14-17th, 2002, Bloomington, Minnesota
Csillag*1, F., Kertesz*2, M., Davidson*1, A., and Mitchell*1, S. 2001. On the measurement of diversity-productivity relationships in a northern mixed grass prairie (Grasslands National Park, Saskatchewan, Canada) [pdf], Community Ecology 2(2): 145-159, 2001, 1585-8553 © Akadémiai Kiadó, Budapest,
*1Department of Geography and Institute for Land Information Management, University of Toronto, Mississauga, ONT L5L 1C6, Canada. E-mail:,
*2Institute of Ecology and Botany, Hungarian Academy of Sciences, 2163 Vácrátót, Alkotmány u. 2-4., Hungary, E-mail:
Cybulska-Augustyniak, J., F.M. Shokes, R.D. Barnett and A.R. Soffes 1991. Reliability of Methods for Assessing Leaf Blotch Diseases of Wheat Proceedings, Soil and Crop Science Society of Florida 51:90-95. Sept. 1991.
Doraiswamy*, P., Muratova*, N., Sinclair*, T., Stern*, A., and Akhmedov*, B., 2002. Evaluation of MODIS data for assessment of regional spring wheat yield in Kazakhstan, Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International, vol. 1, pp. 487- 490
* Hydrology & Remote Sensing Lab., U.S. Dept. of Agric., Beltsville, MD
Dudka*1, M., Langton*2, S., Shuler*2, R., Kurle*3, J., and Grau*3, C.R., 1998 Use of Digital Imagery to Evaluate Disease Incidence and Yield Loss Caused by Sclerotinia Stem Rot of Soybeans [pdf],
*1 Environmental Remote Sensing Center, University of Wisconsin, Madison, WI,
*2 Dept. of Biosystems Engineering, University of Wisconsin, Madison, WI,
*3 Dept. of Plant Pathology, University of Wisconsin, Madison, WI
Elwadie, M. Eldaw*a, Pierce, Francie J.*b and Qi, J.*c, 2005, Remote Sensing of Canopy Dynamics and Biophysical Variables Estimation of Corn in Michigan, Agron. J. 97:99-105 (2005).
*a Dep. of Crop and Soil Sciences, Michigan State Univ., East Lansing, MI 48824, Corresponding author (,
*b Center for Precision Agricultural Systems, Washington State Univ., Prosser, WA 99350-8694,
*c Dep. of Geography, Michigan State Univ., East Lansing, MI 48824
Ewaldz, Torbjörn, 2000. Radiometric Readings as a Tool for Predicting Optimal Fungicide Dose in Winter Wheat, Journal of Plant Diseases and Protection 107 (6), 594-604, 2000, ISSN 0340-8159
Gillham*1, John, Hild*2, A., Hunt*3, E.R., 1998. Wyoming Rangelands: Biomass Estimation and Satellite Applications, Undergraduate Research,
*1 Undergraduate Researcher, University of Wyoming, Cooperating Faculty,
*2 Dept. of Renewable Resources,
*3 Dept. of Botany
Goodin, Douglas G. and Henebry, G.M. 1998. Seasonality of finely-resolved spatial structure of NDVI and its component reflectances in tallgrass prairie. Int. J. Remote Sensing, 1998, Vol. 19, No. 16, 3213-3220
Goodin, Douglas G. 1994. Effect of Viewing Geometry on Remotely Sensed Net Radiation Measurements for Vegetated and Non-Vegetated Surfaces. Physical Geography, 1994, 15, 6, pp. 557-572.
Gleason, Mark L., Nutter, Jr., Forrest W., and Christians, Nick E., 1998. Radiometric Assessment of Dollar Spot Severity on a Creeping Bentgrass Green, Turfgrass Report 98, News & Events, Iowa State University
Guan, J. and Nutter, F.W. Jr.*, 2004. Comparison of single-point alfalfa yield models based on visual disease intensity and remote sensing assessments. Canada Journal of Plant Pathology 26: 314-324 (2004)
* 351 Bessey Hall, Dept. of Plant Pathology, Iowa State University, Ames, IA 5011, U.S.A.
Corresponding author (email:
Guan, J. and Nutter, F.W. Jr.*, 2003. Quantifying the intrarater repeatability and interrater reliability of visual and remote-sensing disease-assessment methods in the alfalfa foliar pathosystem. Canada Journal of Plant Pathology 25: 143-149 (2003)
* 351 Bessey Hall, Dept. of Plant Pathology, Iowa State University, Ames, IA 5011, U.S.A.
Corresponding author (email:
Guan, J. and Nutter, F.W. Jr.*, 2002. Relationship between Percentage Defoliation, Dry Weight, Percentage Reflectance, Leaf-to-Stem Ration, and Green Leaf Area Index in the Alfalfa Leaf Spot Pathosystem [pdf]. Crop Science 42:1264-1273 (2002)
* 351 Bessey Hall, Dept. of Plant Pathology, Iowa State University, Ames, IA 5011, U.S.A.
Corresponding author (email:
Guan, J., Nutter, Jr., F.W., 2001, Factors that Affect the Quality and Quantity of Sunlight Reflected from Alfalfa Canopies, Publication no. D-2001-0524-02R, accepted for publication April 9, 2001, The American Phytopathological Society
Guan, J., Nutter, Jr., F.W., 2000, Relationships Between Defoliation, Leaf Area Index, Canopy Reflectance and Forage Yield in the Alfalfa-Leaf Spot Pathosystem, Presented at the Second International Conferenceon Geopspatial Information in Agriculture and Forestry, Lake Buena Vista, Florida, 10-12 January 2000.
Guan*1, J.,Nutter*1, Jr., F.W., Gotlieb*2, A.R., Grau*3 C.R., and Rhodes*4, L.H., 2000, Modeling Yield Losses Caused by Alfalfa Foliar Diseases, Abstract Submitted to NORTH AMERICAN ALFALFA IMPROVEMENT CONFERENCE,
*1 Department of Plant Pathology, Iowa State University, Ames, IA 50011,
*2 Department of Plant and Soil, University of Vermont, Burlington, VT 05405,
*3 Department of Plant Pathology, University of Wisconsin, Madison, WI 53706, and
*4 Department of Plant Pathology, Ohio State University, Columbus, Ohio 43210
Guan, J. and Nutter, F.W. Jr., 1998, Effect of incident radiation, sun angle, and sensor height on the percentage of sunlight reflected from alfalfa canopies affected by foliar diseases., 1998, Dept. Plant Pathology, Iowa State University, 351 Bessey Hall, Ames, IA 50011. Publication no. P-1998-0010-NCA.
Gudmestad, N.C. and Pederson, V.D. 1976. Evaluation of Barley Foliar Disease by Multispectral Sensors. Proc. of the North Dakota Acad. Sci. Vol. 30:18.
Hansen, J.G. 1991. Use of Multispectral Radiometry in Wheat Yellow Rust Experiments. OEPP/EPPO Bulletin 21, 651-658. Paper presented at the Joint WMO/EPPO/NAPPO Symposium on Practical Applications of Agrometeorology in Plant Protection, Firenze (IT), 1990-12-04/07
Hansen, P.K., 2004, Tolerance to weed harrowing in spring barley genotypes, Danish Institute of Agricultural Sciences, Department of Crop Protection, Research Centre Flakkebjerg DK-4200 Slagelse, Denmark prebenk.hansen[a]
Haverkort, Dr. Anton J.*1, 2002, Precision Management of Nitrogen and Water in Potato Production Through Monitoring and Modelling, XXVIth International Horticultural Congress, Toronto, Canada, August 11-17, 2002, Symposium 3: Potatoes - Healthy Food for Humanity: International Developments in Breeding, Production, Protection and Utilization,
*1 Plant Research International, Wageningen University and Research Centre, The Netherlands
Jongschaap, Raymond E.E.*1, 2006, Run-time calibration of simulation models by integrating remote sensing estimates of leaf area index and canopy nitrogen, European Journal of Agronomy, Volume 24, Issue 4, May 2006, Pages 316-324
*1 Wageningen University and Research Centre, Plant Sciences Group, Plant Research International BV, P.O. Box 16, NL-6700AA Wageningen, The Netherlands
Jørgensen, R. N.*1, Hansen, P. M.*1, Bro, R.*3, 2006, Exploratory study of winter wheat reflectance during vegetative growth using three-mode component analysis, International Journal of Remote Sensing, Volume 27, Issue 5 March 2006 , pages 919 - 937
*1 Department of Agricultural Engineering, Danish Institute of Agricultural Sciences, DK-8700 Horsens, Denmark
*2 Plant Research Department, Risø National Laboratory, DK-4000 Roskilde, Denmark
*3 Chemometrics Group, Food Technology, Department of Dairy and Food Science, Royal Veterinary and Agricultural University, DK-1958 Frederiksberg C, Denmark
Jørgensen, Rasmus N., Sørensen, Claus G.,Jacobsen, Hans, Kirk, Kristian, Andersen, Hans Jørgen, Nantt, Del, 2005, The potential of using robotics in data acquisition from multiple sensors, Proc. SPIE Vol. 5999, p. 82-93, Intelligent Systems in Design and Manufacturing VI; Bhaskaran Gopalakrishnan; Ed., Nov. 2005
Kelly, Rob*1,Cooper, John*1, Thomas, Greg*2, Strong, Wayne*1, Butler, David*1 and Apan, Armando*3, 2004, Using a handheld multispectral radiometer to forecast grain protein in northern Australia, Proceedings of the 4th International Crop Science Congress, Brisbane, Australia, 26 Sep – 1 Oct 2004 | ISBN 1 920842 20 9 |,
*1 Department of Primary Industries and Fisheries, PO Box 102, Toowoomba, QLD 4350. Email,
*2 Department of Natural Resources, Mines and Energy, PO Box 2282, Toowoomba, QLD 4350.,
*3 Geospatial Information and Remote Sensing Group, Faculty of Engineering and Surveying, University of Southern Queensland, Toowoomba, QLD 4350.
Khan, Aslam and LeRoy A. Spilde. 1992. Response of Hard Red Spring Wheat Genotypes to Management Systems. Crop Science 32. 206-212.
Kooistra1*1, Lammert, Beza*1, Eskender, Verbesselt*1, Jan, van den Borne*2, Jacob and van der Velde*3, Wilco, 2012. Integrating remote-, close range- and in-situ sensing for high-frequency observation of crop status to support precision agriculture [pdf], Sensing a Changing World 2012
*1 Centre for Geo-Information, Wageningen University, P.O. Box 47, NL-6700 AA, Wageningen, The Netherlands
*2 Van den Borne Aardappels, Reusel, the Netherlands
*3 TTW, Oude Tonge, the Netherlands
Author to whom correspondence should be addressed; E-Mail:
Lascano, Robert J. and Li, Hong, 1998, The Balance and Variability of Water/Nitrogen within Large Agricultural Field, 1998—Experiments, Report for PRECISION AGRICULTURAL INITIATIVE FOR TEXAS HIGH PLAINS, Texas Agricultural Experiment Station and Texas Agricultural Extension Service, Texas A&M University System
Li*1*5, Hong, Lascano*2*6, Robert J., Barnes*3, Edward M., Booker*2b, Jill, Wilson*4, L. Ted, Bronson*1, Kevin F., and Segarra*5, Eduardo, 2001, Multispectral Reflectance of Cotton Related to Plant Growth, Soil Water and Texture, and Site Elevation, Agronomy Journal 93:1327-1337,
*1 Texas A&M Univ., Rt. 3, Box 219, Lubbock, TX 79403,
*2 Texas A&M Univ., USDA-ARS, 3810 4th Street, Lubbock, TX 79415,
*3 USDA-ARS, U.S. Water Conserv. Lab., 4331 E. Broadway, Phoenix, AZ,
*4 Texas A&M Univ., 1509 Aggie Drive, Beaumont, TX 77713,
*5 Dep. of Soil Sci., North Carolina State Univ., Raleigh, NC 27695,
*6 Corresponding author (
Lokhorst, C. and Kasper, G.J., 1999, The role of ICT in the development of a ‘Precision Grassland Management’ system [pdf], DLO-Institute for Agricultural and Environmental Engineering (IMAG-DLO), P.O. Box 43, NL-6700 AA Wageningen, The Netherlands
Ma, B.L., Dwyer, Lianne M., Costa, Carlos, Cober, Elroy R. and Morrison, Malcolm J., 2001, Early Prediction of Soybean Yield from Canopy Reflectance Measurements, Agronomy Journal, Nov-Dec Volume 93 Issue 6, 93:1227-1234 (2001)
Ma, B.L., Morrison, Malcom J. and Dwyer, Lianne M. 1996. Canopy Light Reflectance and Field Greenness to Assess Nitrogen Fertilization and Yield of Maize, Agronomy Journal 1996. 88:915-920.
Mascarini*1, Libertad, Lorenzo, Gabriel A., and Vilella, Fernando, 2006, Leaf Area Index, Water Index, and Red : Far Red Ratio Calculated by Spectral Reflectance and its Relation to Plant Architecture and Cut Rose Production [pdf], J. Amer. Soc. Hort. Sci. 131(3):313-319. 2006
*1 Department of Floriculture, Faculty of Agronomy, University of Buenos Aires, Av. San Martin 4453 (1417), Ciudad de Buenos Aires, Argentina
Meurs, E.J.J, and Booij, R., 2003, Nitrogening at Fertilisation in Leek on the Basis of CropScan: Milieukundige and Agricultural Potential, Phase II [pdf], Plant Research International B.V., Wageningen, April 2003, Note 240
Mirik*1, Mustafa, Seddom*2, Karl, Michels Jr.*3, Gerald J., 2006, Estimating Biophysical Characteristics of Musk Thistle (Carduus nutans) With Three Remote Sensing Instruments [pdf], Rangeland Ecology Management 59:44-54, January 2006
*1 - Assistant Research Scientist, The Texas A&M University System, Texas Agricultural Experiment Station, Bushland, TX 79012,
*2 - Assistant Professor, The Texas A&M University System, Texas A&M Research and Extension Center, Overton, TX 75684, and
*3 - Professor, The Texas A&M University System, Texas Agricultural Experiment Station, Bushland, TX 79012
Moore, Jayne, Holden, N.M., 2003, Examining the development of a potato crop nutrient management trial using reflectance sensing, Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan Citation: Paper number 031133, 2003 ASAE Annual Meeting.
Nebeker, T. Evan*1, in cooperation with Evans, David L.*2, 2000, Determination and Demonstration of Remote Sensing Capabilities in Detecting and Monitoring Defoliation, Mortality and Disturbances Over Forested Landscapes,
*1 - Department of Entomology and Plant Pathology Mississippi State University,
*2 - Department of Forestry Mississippi State University
Nilsson, Hans-Eric. Johnson, L. 1996. Hand-held Radiometry of Barley Infected by Barley Stripe Disease in a Field Experiment, Journal of Pland Diseases and Protection 103 (4), 517-526, 1996, ISSN 0340-8159
Nilsson, H.E. 1997. Remote sensing for assessment of disease impact. Proceedings of the FAO & European Commission joint seminar "Crop yield forecasting methods, Villefranche-sur-Mer, 24 to 27 October 1994. pp 123-142 (ECSC-EC-EAEG, Luxemburg, 1997.(ISBN 92-827-9451-2)
Nilsson, Hans-Eric. 1996. Influence of the Yellow Flower Colour in Remote Sensing of Brassica spp. Swedish Journal of Agricultural Research 26: 161-167, 1996
Nilsson, Hans-Eric. 1995. Remote Sensing and Image Analysis in Plant Pathology. Annual Review of Phytopathology 1995. 15:489-527
Nilsson, Hans-Eric. 1995. Remote Sensing and Image Analysis in Plant Pathology. Canadian Journal of Plant Pathology 1995. 17:154-166
Nilsson, H.E. & Bramstorp, A. 1994. Cropscan-radiometri i sockerbetor angripna av mjöldagg och mild betgulvirus (Cropscan-radiometry of individual sugar-beet plants infected by powdery mildew and mild beet yellow virus). Betodlaren, (5 pp)
Nilsson, H.E. & Anita Strömberg, 1993. Induced systemic resistance to potatoe late blight in a field experiment studied with visual assessments and remote sensing. Abstract of poster at ISPP-Congress at Montreal, Canada, 28 July-6 August, 1993 (p 115)
Nilsson, H.E. & Anneli Carlsson, 1993. Remote sensing of agricultural field plot experiments. Abstract of poster at ISPP-Congress at Montreal, Canada, 28 July-6 August, 1993 (p 115)
Nilsson, Hans-Eric. 1991. Hand-held Radiometry and IR-Thermography of Plant Diseases in Field Plot Experiments. Int. J. Remote Sensing, 1991, Vol. 12, No. 3, 545-557. Paper presented at the University of Nottingham 48th Easter School in Agricultural Science, 'Applications of Remote Sensing Agriculture' 3-7 April 1989.
Nilsson, H.E. & Johnsson, L. 1988. Remote sensing of plant diseases in field plot experiments. Växtskyddsrapporter, Jordbruk, 49, 111-122
Nilsson, H.E. 1986. Fjärranalys inom växtpatologi - Orientering om fortsatt metodutveckling. Växtskyddsrapporter, Jordbruk, 39, 95-104. Nilsson, H.E. 1987. Experiments on hand-held radiometry and IR-thermography of winter wheat in field plot experiments. Växtskyddsrapporter, Jordbruk 44, 1-48.
Nilsson, Hans-Eric. 1985. Remote Sensing of 2-row Barley Infected by Net Blotch Disease. Jordbruk 34. 101pp.
Nilsson, Hans-Eric. 1985. Remote sensing of 6-row barley infected by barley stripe disease. Jordbruk 36. 49pp.
Nilsson, Hans-Eric. 1985. Remote Sensing of Oil Seed Rape Infected by Sclerotinia Stem Rot and Verticillium Wilt. Jordbruk 33. 33pp.
Nilsson, H.E. 1985. Fjärranalys för prognos om växtsjukdomar och plantutveckling. Växtskyddsrapporter - Jordbruk, 32, 190-216.
Nilsson, H.E. 1984. Remote sensing of plant stress and diseases. Proceedings of ESA/EARSeL-symposium at Guildford, UK, 8-13 April, 1984, 115-125.
Nutter*1, F.W. Jr., Tylka*2, G.L.,Guan*3, J., Moreira*4, A.J.D. Marett*5, C.C., Rosburg*6, T.R., Basart*7, J.P., and Chong*8, C.S., 2002, Use of Remote Sensing to Detect Soybean Cyst Nematode-Induced Plant Stress [pdf], Journal of Nematology 34(3):222–231. 2002, E-mail:
*1 Epidemiologist, Professor, and Project Leader, Department of Plant Pathology, Iowa State University, Ames, IA 50011,
*2 Nematologist and Professor, Department of Plant Pathology, Iowa State University, Ames, IA 50011,
*3 Research Associate, Epidemiology, Department of Plant Pathology, Iowa State University, Ames, IA 50011,
*4 Graduate Assistant, Department of Plant Pathology, Iowa State University, Ames, IA 50011,
*5 Assistant Scientist, Nematology, Department of Plant Pathology, Iowa State University, Ames, IA 50011,
*6 Associate Professor, Department of Biology, Drake University, Des Moines, IA 50311
*7 Professor, Department of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011,
*8 Graduate Assistant, Department of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011.
Nutter, F.W. Jr., Guan, J., Gotlieb, A.R., Rhodes, L.H., Grau, C.R., and Sulc, R.M. 2002, Quantifying Alfalfa Yield Losses Caused by Foliar Diseases in Iowa, Ohio, Wisconsin, and Vermont, Plant Disease, Vol. 86 No. 3, pp. 269-277, March 2002
Nutter, F.W. Jr., Professor and Project Leader; Jie Guan, Research Associate; Antonio J. D. Moreira, Graduate Research Assistant Gregory L. Tylka, Associate Professor, and Christopher C. Marett, Research Associate Department of Plant Pathology, Iowa State University, Ames, IA. Thomas Rosburg, Associate Professor and Co-Principal Investigator Department of Biology, Drake University, Des Moines, IA. and John P. Basart, Professor and Co-Principal Investigator; Chuan S. Chong, Graduate Research Assistant; Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, 2000 Use of Remote Sensing and GIS Technologies to Diagnose and Quantify Plant Stress in Soybean
Nutter, F.W. Jr., Guan, J. and Percifield, R., 2000, Assessing Crop Health in Time and Space by Measuring Spectral Reflectance of Solar Radiation From Plant Canopies,Presented at the Second International Conferenceon Geopspatial Information in Agriculture and Forestry, Lake Buena Vista, Florida, 10-12 January 2000.
Nutter, F.W. Jr., Gleason, M.L., Jenco, J.H., and Christians, N.C. 1993. Assessing the Accuracy, Intra-rater Repeatability, and Inter-rater Reliability of Disease Assessment Systems. Journal paper J-15124-3116 of the Iowa Agriculture and Home Economics. Exp. Sta., Ames, IA. Phytopathology 83:806-812.
Nutter, F.W. Jr., Littrell, R.H., and Brenneman, T.B. 1990. Utilization of a Multispectral Radiometer to Evaluate Fungicide Efficacy to Control Late Leaf Spot in Peanut. Phytopathology 80:102-108.
Nutter, F.W. Jr., 1989. Detection and Measurement of Plant Disease Gradients in Peanut using a Multispectral Radiometer. Phytopathology 79:958-963.
Nutter, F.W. Jr., 1987. Detection of Plant Disease Gradients using a Hand-held Multispectral Radiometer. Phytopathology 77:643.
Nutter, F.W. Jr., and Cunfer, B.M 1987. Modeling Barley Yield Loss from Scald and Septoria Nodorum Blotch using Visual versus Remote Sensing Assessments Methods. Barley Newsletter 31:34
Nutter, F.W. Jr., Littrell, R.H., and Pederson, V.D. 1985. Use of a Low-Cost Multispectral Radiometer to Estimate Yield Loss in Peanuts caused by Late Leafspot (Cercosporidium personatum). Phytopathology 75:502.
Nutter, F.W. Jr., 1983. Modeling Yield Loss of Barley due to Spot Blotch. Ph.D. Thesis. North Dakota State University, Fargo, N.D. 123pp.
Nyren, Paul and Patton, Bob 1998. Using Remote Sensing To Manage North Dakota's Rangelands
Nyren, Paul and Patton, Bob 1992. The Use Of Remote Sensing And Artificial Intelligence To Determine Range Forage Production. NDSU Central Grasslands Research Center 1992 Annual Report, Grass & Beef Research Review, pages 16-17.
Olson, K.C., and Cochran, Robert C. 1998 Radiometry for Predicting Tallgrass Prairie Biomass Using Regression and Neural Models, Journal of Range Management, Journal of Range Management 51:186-192 March 1998
Olson, K.C., Cochran, R.C., and Towne, G. 1995 Estimation of Forage Production Using Multispectral Radiometry(pdf file), Proceedings from KSU Range Field Day, October 27, 1995, Cooperative Extension Service, Kansas State University, Manhattan, Kansas
Pederson, V.D., Steffenson, B.J., and Fetch, T.G. Jr. 1993 A Programmable Data Logger/Controller for Controlled Environment Chambers. Poster Session - 6th International Congress of Plant Pathology, Montreal, Canada, 8/93.
Pederson, V.D. 1986. Spectroradiometric Readings of Barley Canopies Grown from Fungicide Treated Seed. Phytopathology 76:957
Pederson, V.D. and T. Fetch. 1986. Estimation of Efficacy of Fungicide Applications on Barley for Foliar Disease Control by Multispectral Radiometry. Phytopathology 76:957.
Pederson, V.D. 1985 Multispectral Radiometry Using a 12-bit Analog-to-Digital Converter Interfaced with a Portable Computer. Phytopathology 74:872-873.
Pederson, V.D. 1985. Design and Operation of a Multispectral Radiometer and Digital Data Acquisition System. North Dakota Research Report 104. N. Dak. Agri. Exp. Sta., North Dakota State University, Fargo, N. Dak.
Pederson, V.D. 1984. A 29 Channel, 12 bit, RS-232C Analog-to-Digital Converter. Proc. N.D. Acad. Sci. 38:67.
Pederson, V.D. and Nutter, F.W. Jr., 1984. Estimation of Barley Yield Loss from Spot Blotch using Remote Sensing Techniques. Barley Newsletter 27:49
Pederson, V.D., and Nutter, F.W. Jr., 1982. A Low-Cost Portable Multispectral Radiometer for Assessment of Onset and Severity of Foliar Disease of Barley. Proc. of International Society for Optical Engineering 356:126-130.
Pederson, V.D., and G. Fiechtner. 1980. A Low-Cost, Compact Data Acquisition System for Recording Visible and Infrared Reflection from Barley Crop Canopies. pp 71-75. In: Teng, P.S. and S.V. Krupa, eds. Crops Loss Assessment. Misc. Publication 7, Agri. Exp. Sta., Univ. of Minn.
Peterson, Darrel E.. 1996. Grizzly Country - GPS/GIS Help Monitor the Great Bear's Fragile Ecosystem. GIS World Magazine, April 1996, pp 53-55.
Pethybridge, Sarah .J.*, Hay, Frank, Esker, Paul, Groom, Tim, Wilson, Calum, and Nutter, F.W. Jr.*, 2008. Visual and Radiometric Assessments for Yield Losses Caused by Ray Blight in Pyrethrum. Crop Science 48:343-352 (2008)
S.J. Tethybridge and F. Hay, Tasmanian Institute of Agricultural Research (TIAR), University of Tasmania.
P. Esker, Dept of Plant Pathology, University of Wisconsin.
F.W. Nutter, Jr., Dept. of Plant Pathology, Iowa State University.
T. Groom, Botanical Resources Australia Pty. Ltd., Ulverstone, Tasmania.
C. Wilson, TIAR, University of Tasmania.
* Corresponding author (
Pethybridge, S.J.*, Esker, P., Hay, F., Groom, T., Wilson, C., and Nutter, F.W. Jr.*, 2007. Quantifying Loss Caused by Ray Blight Disease in Tasmanian Pyrethrum Fields. Plant Disease 91:1116-1121 (2007)
S.J. Tethybridge and F. Hay, Tasmanian Institute of Agricultural Research (TIAR), University of Tasmania.
P. Esker, Dept of Plant Pathology, University of Wisconsin.
F.W. Nutter, Jr., Dept. of Plant Pathology, Iowa State University.
T. Groom, Botanical Resources Australia Pty. Ltd., Ulverstone, Tasmania.
C. Wilson, TIAR, University of Tasmania.
* Corresponding author (
Qadri*, Salman*1, Khan, Dost Muhammad*1, Ahmad, Farooq*2, Qadri, Syed Furqan*3, Babar, Masroor Ellahi*4, Shahid, Muhammad*1, Ul-Rehman, Muzammil*1, Razzaq, Abdul*5, Muhammad, Syed Shah*6, Fahad, Muhammad*1, Ahmad, Sarfraz*6, Pervez, Muhammad Tariq*4, Naveed, Nasir*6, Aslam, Naeem*5, Jamil, Mutiullah*1, Rehmani, Ejaz Ahmad*1, Ahmad, Nazir*1, and Khan, Naeem Akhtar*7, 2016
A Comparative Study of Land Cover Classification by Using Multispectral and Texture Data. BioMed Research International, Volume 2016 (2016), Article ID 8797438, 12 pages
* Corresponding author (
*1 Department of CS & IT, The Islamia University of Bahawalpur, Punjab 63100, Pakistan
*2 Department of Computer Sciences, CIIT Lahore, Punjab 54000, Pakistan
*3 Key Laboratory of Photo-Electronic Imaging Technology and System, School of Computer Science, Beijing Institute of Technology (BIT), Beijing 100081, China
*4 Department of Bioinformatics and Computational Biology, Virtual University of Pakistan, Lahore, Punjab 54000, Pakistan
*5 Department of CS, NFC IET, Multan, Punjab 60000, Pakistan
*6 Department of CS, Virtual University of Pakistan, Lahore, Punjab 54000, Pakistan
*7 Faculty of Information Technology, University of Central Punjab (UCP), Lahore 54000, Pakistan
Reed, BC, Loveland, TR, and Tieszen, LL, 1996. An approach for using AVHRR data to monitor U.S. Great Plains grasslands. Geocarto International (accepted)
Rehmani, E.A., Naweed, M.S., Shahid, M., Qadri, S., Ullah Muti, Gilani, Z., Islah-U- Din, 2015
A Comparative Study of Crop Classification By Using Radiometric and Photographic Data. Sindh University Reserach Journal (Science Series), Volume 47, No 2 (2015)

Reyniers, M.*1, De Baerdemaeker, J.*1, and Darius, P., Automated On The Ground Grain Reflection Monitoring To Detect Management Zones In A Field [pdf],
*1 K.U.Leuven, Laboratory of Agro-Machinery and Processing, Leuven, Belgium E-mail :,
*2 K.U.Leuven, Laboratory of Statistics and Design of Experiments Unit, Leuven, Belgium
Rodriguez*1, J.C., Duchemin*2, B., Hadria*3, R., Watts*1, C.J., Garatuza*4, J., Chehbouni*2, A., Khabba*3, S., Boulet*2, G., Palacio*5, E., Lahrouni*3, A., 2004, Wheat Yield Estimation Using Remote Sensing And The STICS Model In The Semiarid Yaqui Valley, Mexico [pdf], Agronomie 24 (2004) 295-304, DOI: 10.1051/agro:2004037, Email:,
*1 IMADES, Instituto del Medio Ambiente y Desarrollo Sustentable, Hermosillo, Mexico,
*2 CESBIO, Centre D'Études Spatiales de la Biosphere CESBIO, Toulouse, France,
*3 FSSM, Faculté des Sciences Semlalia, Marrakech, Morocco,
*4 ITSON, Instituto Tecnologico de Sonora, Cd. Obregon, Mexico,
*5 COLPOS, Colegio de Postgraduados, Montecillo, Mexico
Rodriguez*1, J.C., Duchemin*2, B., Watts*1, C.J., Hadria*3, R., Garatuza*4, J., Chehbouni*2, A., Boulet*2, G., Armenta*5, M., and Er-Raki*3, S., 2003, Wheat Yields Estimation Using Remote Sensing and Crop Modeling in Yaqui Valley in Mexico, Email:,
*1 IMADES: Instituto del Medio Ambiente y Desarrollo sustentable del Estado de Sonora (Hermosillo, México),
*2 CESBIO: Centre D’Etudes Spatiales de la Biosphere (Toulouse, France),
*3 FSSM: Faculte des Sciences Semlalia (Marrakech, Morocco),
*4 ITSON: Instituto Tecnológico de Sonora (Ciudad Obregón, México),
*5 INIFAP: Instituto de Nacional de Investigaciones Forestales Agrícolas y Pecuarias (Navojoa, México), IEEE IGARSS 0-7803-7930-6
Rundquist, Bradley C. 2002. The Influence of Canopy Vegetation Fraction on Spectral Measurements Over Native Tallgrass Prairie. Remote Sensing of Environment 81 (2002), pp 129-135.
Savary, S., and J.C. Zadoks. 1992. Analysis of crop loss in the multiple pathosystem groundnut-rust-late leaf spot.I. Six experiments. Crop Protection 11:99-109.
Shah, SF, Gaunt, RE, McKenzie, BA and Frampton, CM, 1998, Reduction in Radiation Interception (RI) and Radiation Use Efficiency (RUE) in Potatoes Infected by Alternaria Solani, ICPP98 Paper Number 2.8.10., PO Box 84, Lincoln University, Canterbury, New Zealand
Muhammad Shahzad Shifa*1, M. Shahid Naweed*2, Muhammad Omar*2, M. Zeeshan Jhandir*2 and Tanveer Ahmed*3, 2011. Classification Of Cotton And Sugarcane Plants On The Basis Of Their Spectral Behavior [pdf], Pak. J. Bot., 43(4): 2119-2125, 2011
*1 Department of Physics, The Islamia University of Bahawalpur, Pakistan
*2 Department of Computer Science & IT, The Islamia University of Bahawalpur, Pakistan
*3 Department of Computer Science COMSATS, Institute of Information Technology, Abbottabad, Pakistan
Shokes, F.M., Berger, R.D., Smith, D.H. and Rasp, J.M., 1987. Reliability of disease assessment procedures: A case study with late leafspot of peanut. Oleagineux 42:245-251.
Skaar, C., Green, G. and Tieszen, L.L.. 1995. Quantitative Estimates Derived From Remotely Sensed Data of Effects of Land Use on Ecosystem Function. Proc. S. D. Acad. Sci. 73: (abst).
Smith, RCG, Wallace, JF, Hick, PT, Gilmour, RF, Belford, RK, Portmann, PA, Regan, KL, and Turner, NC, Potential of using field spectroscopy during early growth for ranking biomass in cereal breeding trials, Australian Journal of Agricultural Research 44(8) 1713-1730
Stewart, Greg, A Better INDICATOR of Corn Nitrogen NEEDS,
Stromberg, Anita, S. Brishammar, and H.-E. Nilsson, Dept. of Plant Protection, Swedish Univ. of Agric. Sci. Box 7044, S-75007 Uppsala, Sweden. 1993 Induced Systemic Resistance to Potatoe Late Blight in a Field Experiment Studied with Visual Assessments and Remote Sensing. Poster Session - 6th International Congress of Plant Pathology, Montreal, Canada, 8/93.
Sullivan, Dana G.*1 and Holbrook, C. Corley, 2007, Using Ground-Based Reflectance Measurements as Selection Criteria for Drought- and Aflatoxin-Resistant Peanut Genotypes, Crop Sci 47:1040-1050 (2007)
*1 USDA-ARS, Southeast Watershed Research Lab., P.O. Box 748, Tifton, GA 31793
Sullivan, Dana G.*1, Truman, Clint C.*1, Schomberg, Harry H.*2, Endale, Dinku M.*2, and Strickland*1, Timothy C.*1, 2006, Evaluating Techniques for Determining Tillage Regime in the Southeastern Coastal Plain and Piedmont, Agron J 98:1236-1246 (2006)
*1 USDA-ARS Southeast Watershed Research Lab., P.O. Box 748, Tifton, GA, 31794
*2 USDA-ARS South J. Phil Campbell Sr. Natural Resource Conservation Center, 1420 Experiment Station Rd., Watkinsville, GA 30677
Svotwa, Ezekia*1, Masuka, J. Anxious*2, Massdorp, Barbara*3, and Murvira, Amon*3, 2013. Spectral Indices: In-Season Dry Mass and Yield Relationship of Flue-Cured Tobacco under Different Planting Dates and Fertiliser Levels, ISRN Agronomy, Volume 2013, Article ID 816767
*1 Department of Crop Science, University of Zimbabwe, Harare, Zimbabwe
*2 Department of Geography and Environmental Studies, University of Zimbabwe, Harare, Zimbabwe
*3 Tobacco Research Board/Kutsaga Research Station, Harare, Zimbabwe
Thelen, Kurt D., Kravchenko, A.N., and Lee*2, Chad D., 2004, Use of Optical Remote Sensing for Detecting Herbicide Injury in Soybean, Weed Technology. 2004. Volume 18:292–297,
*1 Assistant Professor and Assistant Professor, Department of Crop and Soil Science, Michigan State University, East Lansing, MI 48824-1325; Assistant Extension Professor, Department of Agronomy, University of Kentucky, Lexington, KY 40546-0091. Corresponding author’s E-mail:
Tian, Y., Cao W., Jiang D., Zhu, Y., 2003. Relationship Between Canopy Reflectance and Leaf Water Potential in Rice Under Different Soil Water and Nitrogen Conditions, Journal of Soil and Water Conservation, Sept. 2003, Vol. 17, No. 3, pp 178-183, Key Laboratory of Crop Growth Regulation, Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095, China)
Tieszen, LL, Reed, BC, Bliss, NB, Wylie, BK and DeJong, DD. 1997. NDVI characteristics, potential C3 and C4 grass production, and delta-13C values in grassland land cover classes of the Great Plains. Ecological Applications (accepted)
Tieszen*1, Larry L., Cambardella*2, Cynthia, Kindscher*3, Kelly, Ojima*4, Dennis, Reed*5, Brad, Schimel*6, Dave, 1996, Assessment of Climate and Management Induced Directional Changes in Great Plains Vegetation with NDVI and Stable Carbon Isotopes
*1 Augustana College,
*2 Iowa State University,
*3 University of Kansas,
*4 Colorado State University,
*5 EROS Data Center,
Trenholm*, L.E.,Carrow, R.N., and Duncan, R.R., 1999. Relationship of Multispectral Radiometry Data to Qualitative Data in Turfgrass Research [pdf], Crop Science 39:763–769 (1999).
* Corresponding author (, Crop and Soil Science Dep., Georgia Exp. Stn., Univ. of Georgia, Griffin, GA 30223-1797.
Tsirogiannis, Dr. Ioannis L., Patakioutas, Dr. G., Savvas, Dr. Demetrios, Fotia, Mrs. Konstantina, Kittas, Prof. Konstantinos, Katsoulas, Dr. Nikolaos, Tsolis, Mr. Demetrios, Kateris, Mr. Demetrios, Lagoudas, Mr. Christos, Bakea, Mrs. Maria, Pantazi, Mrs. Vassiliki, and Papakonstantinou, Mr. Konstantinos. 2014. Deliverable 6.4.4: Experiments regarding sensors evaluation for landscape projects A knowledge harvest and experimental evaluation report Chapter of: WP6: Specialized research actions [pdf]

Tsirogiannis I., Katsoulas N., Kittas C., Karras G., Savvas D., 2013. Relationships between Reflectance and Water Status in a Greenhouse Rocket (Eruca sativa Mill.) Crop. European Journal of Horticultural Science (Europ.J.Hort.Sci.) 78 (6): 275–282
Tsirogiannis, I., Savvas, D., Katsoulas , N. and Kittas, C. 2012. Evaluation of Crop Reflectance Indices for Greenhouse Irrigation Scheduling. Acta Horticulturae 927:269-276
Tsirogiannis I., Katsoulas N. and C. Kittas, 2010. Effect of irrigation scheduling on gerbera flower yield and quality. HortScience 45(2): 265–270
Upper Midwest Aerospace Consortium, Progress Report, 2000, Modeling Yield Losses Caused by Alfalfa Foliar Diseases "A Public Access Resource Center (PARC) Empowering the General Public to Use EOSDIS – Phase III Operations", NASA Grant NCC 5 - 310,Submitted by The Upper Midwest Aerospace Consortium, John D. Odegard School of Aerospace Sciences, University of North Dakota, Grand Forks, North Dakota, April 15, 2000
Vigier, B.*1, 2001, Spatial analysis of white mold infection in soybean using canopy reflectance [pdf], Abstracts, The Canadian Phytopathological Society Annual Meeting, Longon, Ontario, 2001,
*1 - Eastern Cereal and Oilseed Research Centre, Agriculture and Agri-Food Canada, 960 Carling Avenue, Ottawa, ON K1A OC6, Canada
Villarreal*1, M., Cochran*2, R.C., Johnson*3, D.E., Towne*4, E.G., Wilson*4, G.W.T., Hartnett*4, D.C., and Goodin*5, D.G., 2006, The use of pasture reflectance characteristics and arbuscular mycorrhizal root colonization to predict pasture characteristics of tallgrass prairie grazed by cattle and bison, Grass and Forage Science, 61, 32–41,
*1 Technological Institute of Costa Rica, School of Agronomy, San Carlos Campus, Santa Clara, Costa Rica,
*2 Department of Animal Sciences and Industry,
*3 Department of Statistics,
*4 Division of Biology, and
*5 Department of Geography, Kansas State University, Manhattan, KS, USA
Vrindts*1, Els, Reyniers*1, Mieke, Darius*1, Paul, Frankinet*2, Marc, Hanquet*3, Bernard, Destain*3, Marie-France, and Baerdemaeker*1, Josse De, 2003, Analysis of Spatial Soil, Crop and Yield Data in a Winter Wheat Field,Written for presentation at the 2003 ASAE Annual International Meeting Sponsored by ASAE Riviera Hotel and Convention Center Las Vegas, Nevada, USA 27- 30 July 2003, Paper Number: 031080, An ASAE Meeting Presentation
*1 Lab. AgroMachinery and Processing, Katholieke Universiteit Leuven, Kasteelpark 30, 3001 Leuven, Belgium. e-mail:
*2 Centre de Recherches Agronomiques de Gembloux, Département Production Végétale, Rue du Bordia 4, Gembloux, 5030, Belgium.
*3 Unité de Mécanique et Constructions, Faculté Universitaire des Sciences Agronomiques de Gembloux, Passage des déportés 2, Gembloux, 5030, Belgium.

Wang, D., Kurle, J.E., Estevez de Jensen, C., and Percich, J. 2004. Radiometric assessment of tillage and seed treatment effect on soybean root rot in central Minnesota. Plant and Soil. 258:319-331.
Wang, D., Wilson, C., and Shannon, M.C., 2000. Detecting Salinity Effect on Soybean Growth Using a Multi-Spectral Radiometer, University of Minnesota Precision Agriculture Center, 2000 International Conference Abstract
Whelan, H.G. 1993. The Effect of Crop Yield Potential on Disease: Yield Loss Relationships in Barley (Hordeum vulgare L.). Ph.D Thesis. Lincoln College, New Zealand
Wittamperuma*1, Indira, Hafeez*1*2, Mohsin, Pakparvar*3, Mojtaba, and John Louis*4, John, 2012, Remote-Sensing-Based Biophysical Models for Estimating LAI of Irrigated Crops in Murry Darling Basin [pdf], International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 XXII ISPRS Congress, 25 August – 01 September 2012, Melbourne, Australia
*1School of Environmental Sciences, Charles Sturt University, Wagga Wagga NSW 2678, Australia. Email:
*2GHD Pty Ltd, 201 Charlotte Street, Brisbane QLD, 4000
*3Faculty of Bioscience Engineering Gent University, 673 Cupour Links, Gent 9000, Belgium
*4School of Computing and Mathematics, Charles Sturt University, Wagga Wagga NSW 2678, Australia.
Wylie, Bruce K., DeJong, Donovan D., Tieszen, Larry L., Biodini, Mario E. 1996 Grassland canopy parameters and their relationships to remotely sensed vegetation indices in the Nebraska sand hills. Geocarto International 11:39-52, 1996.
Xue, L., Cao W., Luo, W., Jiang D., Meng, Y., Zhu, Y., 2003. Diagnosis of Nitrogen Status in Rice Leaves with the Canopy Spectral Reflectance, Scientia Agricultura Sinica, 2003, 36(7), pp 807-812, Key Laboratory of Crop Growth Regulation, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China)
Xue, L., Cao W., Luo, W., Dai, T., Zhu, Y., 2004. Monitoring Leaf Nitrogen Status in Rice with Canopy Spectral Reflectance, Agronomy Journal, 2004, 96, pp 135-142, Key Laboratory of Crop Growth Regulation, Ministry of Agriculture, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China)
Yang, Z. *a*c, Rao, M.N. *b, Elliott, N.C. *c, Kindler, S.D. *c, Popham, T.W. *c, 2005. Using Ground-Based Multispectral Radiometry to Detect Stress in Wheat Caused by Greenbug (Homoptera: Aphididae) Infestation
*a Environmental Science Graduate Program, Oklahoma State University, Stillwater, OK 74078, USA
*b Center for the Applications of Remote Sensing, Department of Geography, Oklahoma State University, Stillwater, OK 74078, USA
*c USDA-ARS Plant Science Research Laboratory,1301 N. Western St., Stillwater, OK 74075, USA
Xinfeng Yao, Xia Yao, Wenqing Jia, Yongchao Tian, Jun Ni, Weixing Cao and Yan Zhu, 2013. Comparison and Intercalibration of Vegetation Indices from Different Sensors for Monitoring Above-Ground Plant Nitrogen Uptake in Winter Wheat, Sensors (Basel), 2013 March, v.13(3), pp 3109-3130, National Engineering and Technology Center for Information Agriculture, Jiangsu Key Laboratory for Information Agriculture, Nanjing Agricultural University, Nanjing 210095, China
CROPSCAN, Inc. Home Page

1932 Viola Heights Lane NE
Rochester, MN 55906 USA
Phone: (507)285-9230
Email: Cropscan@co

©2016 CROPSCAN, Inc.
all rights reserved
Access Count: