Assessing the reflective characteristics of Palmer amaranth (Amaranthus palmeri) and pitted morningglory (Ipomoea lacunosa) accessions

Weed Science

Volumn 55, Issue 4, 2007, Pages 293-298

  Gray, Cody J ^a   Shaw, David R ^a   Bond, Jason A ^b   Stephenson IV, Daniel O ^c   Oliver, Lawrence R ^d  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

^b MISSISSIPPI STATE UNIVERSITY   (United States)

^c UNIVERSITY OF ARKANSAS   (United States)

^d UNIVERSITY OF ARKANSAS   (United States)

Author keywords

Classification accuracies; Hyperspectral reflectance; Remote sensing; Weed differentiation

Indexed keywords

ASSESSMENT METHOD; CLASSIFICATION; DIFFERENTIATION; EMERGENCE; GENETIC VARIATION; LEAF; MEASUREMENT METHOD; REMOTE SENSING; SPECTRAL REFLECTANCE; VEGETATION INDEX;

NORTH AMERICA; SOUTH CAROLINA; UNITED STATES;

AMARANTHUS; AMARANTHUS CAUDATUS; AMARANTHUS PALMERI; IPOMOEA; IPOMOEA LACUNOSA;

EID: 34547518711     PISSN: 00431745     EISSN: None     Source Type: Journal    
DOI: 10.1614/WS-06-041     Document Type: Article

References (35)

1. 730 chlorophyll fluorescence ration as a tool in plant physiology: Response to physiological and environmental factors. J. Plant Physiol. 14:228-238.
2. Aitkenhead, M.J., I.A. Dalgetty, C.E. Mullins, A.J.S. McDonald, and N.J.C. Strachan. 2003. Weed and crop discrimination using image analysis and artificial intelligence methods. Comput. Electron. Agric. 39:157-171.
3. Barber, L.T. 2004. Utilizing hyperspectral and multispectral remote sensing and geographic information systems to identify and differentiate weed and crop species. Ph.D dissertation. Mississippi State, MS: Mississippi State University.
4. Bond, J.A. and L.R. Oliver. 2006. Comparative growth of Palmer amaranth (Amaranthus palmeri) accessions. Weed Sci. 54:121-126.
5. Crippen, R.E. 1990. Calculating the vegetation index faster. Remote Sens. Environ. 34:71-73.
6. 700 as an accurate measure of the chlorophyll content in plants. Remote Sens. Environ. 69:296-302.
7. Gitelson, A.A., Y.J. Kaufman, and M.N. Merzlyak. 1996. Use of a green channel in remote sensing of global vegetation from EOS-MODIS. Remote Sens. Environ. 58:289-298.
8. Gitelson, A.A., Y.J. Kaufman, R. Stark, and D. Rundquist. 2002. Novel algorithms for remote estimation of vegetation fraction. Remote Sens. Environ. 80:76-87.
9. Gitelson, A.A., M.N. Merzlyak, and O.B. Chivkunova. 2001. Optical properties and nondestructive estimation of anthocyanin content in plant leaves. J. Photochem. Photobiol. B Biol. 74:38-45.
10. Hemming, J. and T. Rath. 2001. Computer-vision-based weed identification under field conditions using controlled lighting. J. Agric. Eng. Res. 78:233-243.
11. Henry, W.B., D.R. Shaw, K.R. Reddy, L.M. Bruce, and H.D. Tamhankar. 2004a. Remote sensing to detect herbicide drift on crops. Weed Technol. 18:358-368.
12. Henry, W.B., D.R. Shaw, K.R. Reddy, L.M. Bruce, and H.D. Tamhankar. 2004b. Spectral reflectance curves to distinguish soybean from common cocklebur (Xanthium strumarium) and sicklepod (Cassia obtusifolia) grown with varying soil moisture. Weed Sci. 52:788-796.
13. Henry, W.B., D.R. Shaw, K.R. Reddy, L.M. Bruce, and H.D. Tamhankar. 2004c. Remote sensing to distinguish soybean from weeds after herbicide application. Weed Technol. 18:594-604.
14. Hoagland, D.H. and D.I. Arnon. 1950. The water-culture method for growing plants without soil. Berkeley, CA: California Agricultural Experiment Station Circular 347: 1-32.
15. Horak, M.J. and T.M. Loughin. 2000. Growth analysis of four Amaranthus species. Weed Sci. 48:347-355.
16. Hunt, E.R., Jr., and B.N. Rock. 1989. Detection of changes in leaf water content using near- and middle-infrared reflectances. Remote Sens. Environ. 30:43-54.
17. Jordan, C.F. 1969. Derivation of leaf-area index from quality of light on the forest floor. Ecology 50:663-666.
18. Koger, C.H., D.R. Shaw, C.E. Watson, and K.N. Reddy. 2003. Detecting late-season weed infestations in soybean (Glycine max). Weed Technol. 17:696-704.
19. Lillesand, T.M. and R.W. Keifer. 2000. Remote Sensing and Image Interpretation, 4th ed. New York: J. Wiley. 724 p.
20. Mathur, A., L.M. Bruce, A.M. Cheriyadat, and H.H. Lin. 2003. Hyperspec - Analysis of handheld spectroradiometer data. Pages 342-344 in Proceedings of the IEEE Geoscience and Remote Sensing Symposium, Volume 1. Los Alamitos, CA: IEEE.
21. Medlin, C.R., D.R. Shaw, P.D. Gerard, and F.E. LaMastus. 2000. Using remote sensing to detect weed infestations in Glycine max. Weed Sci. 48:393-398.
22. Merzlyak, M.N., A.A. Gitelson, O.B. Chivkunova, and V.Y. Rakitin. 1999. Non-destructive optical detection of pigment changes during leaf senescence and fruit ripening. Physiol. Plant 106:135-141.
23. Rawlings, J.O., S.G. Pantula, and D.A. Dickey. 1998. Applied Regression Analysis: A Research Tool, 2nd ed. New York: Springer-Verlag. 657 p.
24. Richardson, A.J., R.M. Menges, and P.R. Nixon. 1985. Distinguishing weed from crop plants using video remote sensing. Photogram. Eng. Remote Sens. 51:1785-1790.
25. SAS. 1988. SAS/STAT User's Guide. Release 6.03 ed. Cary, NC: SAS Institute Inc., 1028 p.
26. Senseman, S.A. and L.R. Oliver. 1993. Flowering patterns, seed production, and somatic polymorphism of three weed species. Weed Sci. 41:418-425.
27. Stephenson, D.O. 4th 2004. Identification and characterization of pitted morningglory (Ipomoea lacunosa) ecotypes and biotypes. Ph.D dissertation. Fayetteville, AR: University of Arkansas.
28. Stephenson, D.O. 4th, L.R. Oliver, N.R. Burgos, and E.E. Gbur, Jr. 2006. Identification and characterization of pitted morningglory (Ipomoea lacunosa) ecotypes. Weed Sci. 54:78-86.
29. [SWSS] Southern Weed Science Society. 1998. Weed Identification Guide. Champaign, IL: SWSS.
30. Tucker, C.J. 1979. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens. Environ. 8:127-150.
31. VanGessel, M.J., J. Schroeder, and P. Westra. 1998. Comparative growth and development of four spurred anoda (Anoda cristata) accessions. Weed Sci. 46:91-98.
32. Vaughan, L.K., B.V. Ottis, A.M. Prazak-Havey, C.A. Bormans, C. Sneller, J.M. Chandler, and W.D. Park. 2001. Is all red rice found in commercial rice really Oryza sativa? Weed Sci. 49:468-476.
33. Wassom, J.J., P.J. Tranel, and L.M. Wax. 2002. Variation among U.S. accessions of common cocklebur (Xanthium strumarium). Weed Technol. 16:171-179.
34. Webster, T.M. 2000. Weed survey-southern states, grass crops subsection. Proc. South. Weed Sci. Soc. 53:247-274.
35. Webster, T.M. 2001. Weed survey-southern states, broadleaf crops subsection. Proc. South. Weed Sci. Soc. 54:244-259.