References
CROPSCAN, Inc.
REFERENCES TO PUBLICATIONS OR PRESENTATIONS
BASED ON THE USE OF CROPSCAN, Inc. MULTISPECTRAL RADIOMETERS
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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(k-bronson@tamu.edu).
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(k-bronson@tamu.edu).
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, envirofoto.com and http://vimeo.com/envirofoto
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: fcs@geog.utoronto.ca,
*2Institute of Ecology and Botany, Hungarian Academy of Sciences, 2163 Vácrátót, Alkotmány u. 2-4., Hungary,
E-mail: kmiki@botanika.hu
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 (elwadiem@msu.edu),
*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: fwn@iastate.edu).
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: fwn@iastate.edu).
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: fwn@iastate.edu).
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]agrsci.dk
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 | www.cropscience.org.au,
*1 Department of Primary Industries and Fisheries, PO Box 102, Toowoomba, QLD 4350. www.dpi.qld.gov.au. Email rob.kelly@dpi.qld.gov.au,
*2 Department of Natural Resources, Mines and Energy, PO Box 2282, Toowoomba, QLD 4350. www.nrm.qld.gov.au,
*3 Geospatial Information and Remote Sensing Group, Faculty of Engineering and Surveying, University of Southern Queensland, Toowoomba, QLD 4350. www.usq.edu.au/users/apana.
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: lammert.kooistra@wur.nl
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 (r-lascano@tamu.edu)
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 www.asabe.org
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: fwn@iastate.edu
*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
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