Using aerial hyperspectral remote sensing imagery to estimate corn plant stand density

Transactions of the ASABE

Volumn 51, Issue 1, 2008, Pages 311-320

  Thorp, Kelly R ^a,d   Steward, B L ^b   Kaleita, A L ^b   Batchelor, W D ^c  

^a US ARID LAND AGRICULTURAL RESEARCH CENTER   (United States)

^b Iowa State University of Science and Technology   (United States)

^c MISSISSIPPI STATE UNIVERSITY   (United States)

^d U S DEPARTMENT OF AGRICULTURE   (United States)

Author keywords

Corn; Hyperspectral; Machine vision; Population; Remote sensing; Spatial variability; Stand density

Indexed keywords

AERIAL HYPERSPECTRAL REMOTE SENSING IMAGERY; CORNS; CROP GROWTH PARAMETERS; SPATIAL VARIABILITY; STAND DENSITY;

COMPUTER VISION; CROPS; CULTIVATION; OPTIMIZATION; PARAMETER ESTIMATION; PLANTS (BOTANY); REMOTE SENSING;

IMAGE SENSORS;

CROP YIELD; ESTIMATION METHOD; GROWTH; IMAGERY; MAIZE; PLANT; REMOTE SENSING; SPATIAL VARIATION; SPECTRAL RESOLUTION;

ZEA MAYS;

EID: 41749119154     PISSN: 21510032     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (34)

1. Barbieri, P. A., H. R. Sainz Rozas, F. H. Andrade, and H. E. Echeverria. 2000. Row spacing effects at different levels of nitrogen availability in maize. Agron. J. 92(2): 283-288.
2. Birrell, S. J., and K. A. Sudduth. 1995. Corn population sensor for precision farming. ASAE Paper No. 951334. St. Joseph, Mich.: ASAE.
3. Bouman, B. A. M. 1992. Accuracy of estimating the leaf area index from vegetation indices derived from crop reflectance characteristics, a simulation study. Intl. J. Remote Sensing 13(16): 3069-3084.
4. Bullock, D. G., D. S. Bullock, E. D. Nafziger, T. A. Doerge, S. R. Paszkiewicz, P. R. Carter, and T. A. Peterson. 1998. Does variable rate seeding of corn pay? Agron. J. 90(6): 830-836.
5. Duncan, W. G. 1958. The relationship between corn population and yield. Agron. J. 50: 82-84.
6. Duncan, W. G. 1984. A theory to explain the relationship between corn population and grain yield. Crop Sci. 24(6): 1141-1145.
7. Duvick, D. N., and K. G. Cassman. 1999. Post-green revolution in yield potential of temperate maize in the north-central United States. Crop Sci. 39(6): 1622-1630.
8. GopalaPillai, S., and L. Tian. 1999. In-field variability detection and spatial yield modeling for corn using digital aerial imaging. Trans. ASAE 42(6): 1911-1920.
9. Green, A. A., M. Berman, P. Switzer, and M. D. Craig. 1988. A transformation for ordering multispectral data in terms of image quality with implications for noise removal. IEEE Trans. Geosci. and Remote Sensing 26(1): 65-74.
10. Horler, D. N. H., M. Dockray, and J. Barber. 1983. The red edge of plant leaf reflectance. Intl. J. Remote Sensing 4(2): 273-288.
11. Hunter, R. B., L. W. Kannenberg, and E. E. Gamble. 1970. Performance of five maize hybrids in varying plant populations and row widths. Agron. J. 62(2): 255-256.
12. Johnson, R. A., and D. W. Wichern. 2002. Applied Multivariate Statistical Analysis. 5th ed. Patparganj, Delhi, India: Pearson Education.
13. Krall, J. M., H. A. Esechie, R. J. Raney, S. Clark, G. TenEyck, M. Lundquist, N. E. Humburg, L. S. Axthelm, A. D. Dayton, and R. L. Vanderlip. 1977. Influence on within-row variability in plant spacing on corn grain yield. Agron. J. 69(5): 797-799.
14. Liu, W., M. Tollenaar, G. Stewart, and W. Deen. 2004. Within-row plant spacing variability does not affect corn yield. Agron. J. 96(1): 275-280.
15. Maas, S. J. 1998. Estimating cotton canopy ground cover from remotely sensed scene reflectance. Agron. J. 90(3): 384-388.
16. Mao, C. 2000. Hyperspectral focal plane scanning: An innovative approach to airborne and laboratory pushbroom hyperspectral imaging. In Proc. 2nd Intl. Conference on Geospatial Information in Agriculture and Forestry 1: 424-428. Ann Arbor, Mich.: ERIM International.
17. Mevik, B., and R. Wehrens. 2007. The pis package: Principal component and partial least squares regression in R. J. Stat. Software 18(2). Available at: www.jstatsoft.og/v18/i02/v18i02.pdf.
18. Nafziger, E. D. 1996. Effects of missing two-plants hills on corn grain yield. J. Prod. Agric. 9(2): 238-240.
19. Neter, J., M. H. Kutner, C. J. Nachtsheim, and W. Wasserman. 1996. Applied Linear Statistical Models. Boston, Mass.: WCB McGraw-Hill.
20. Nielsen, R. L. 1991. Stand establishment uniformity in corn. AGRY-91-01. Purdue, Ind.: Purdue University, Department of Agronomy.
21. Nielsen, R. L. 1995. Planting speed effects on stand establishment and grain yield of corn. J. Prod. Agric. 8(3): 391-393.
22. Plattner, C. E., and J. W. Hummel. 1996. Corn plant population sensor for precision agriculture. In Proc. 3rd Intl. Conference on Precision Agriculture, 785-794. P. C. Robert, R. H. Rust, and W. E. Larson, eds. Madison, Wisc.: ASA-CSSA-SSSA.
23. Porter, P. M., D. R. Hicks, W. E. Lueschen, J. H. Ford, D. D. Warnes, and T. R. Hoverstad. 1997. Corn response to row width and plant population in the northern Corn Belt. J. Prod. Agric. 10(2): 293-300.
24. Shrestha, D. S., and B. L. Steward. 2003. Automatic corn plant population measurement using machine vision. Trans. ASAE 46(2): 559-565.
25. Shrestha, D. S., and B. L. Steward. 2005. Shape and size analysis of corn plant canopies for plant population and spacing sensing. Applied Eng. in Agric. 21(2): 295-303.
26. Shrestha, D. S., B. L. Steward, and S. J. Birrell. 2004a. Video processing for early stage maize plant detection. Biosystems Eng. 89(2): 119-129.
27. Shrestha, D. S., B. L. Steward, K. R. Thorp, and B. Li. 2004b. A rapid video frame correspondence algorithm for agricultural video field surveying. ASAE Paper No. 043058. St. Joseph, Mich.: ASAE.
28. Smith, G. M., and E. J. Milton. 1999. The use of the empirical line method to calibrate remotely sensed data to reflectance. Intl. J. Remote Sensing 20(13): 2653-2662.
29. Thenkabail, P. S., R. B. Smith, and E. DePauw. 2000. Hyperspectral vegetation indices and their relationships with agricultural crop characteristics. Remote Sensing Environ. 71(2): 58-182.
30. Thorp, K. ., L. Tian, H. Yao, and L. Tang. 2004. Narrow-band and derivative-based vegetation indices for hyperspectral data. Trans. ASAE 47(1): 291-299.
31. Wanjura, D. F., D. R. Upchurch, S. J. Maas, and J. C. Winslow. 2003. Spectral detection of emergence in corn and cotton. Precision Agric. 4(4): 385-399.
32. Widdicombe, W. D., and K. D. Thelen. 2002. Row width and plant density effects on corn grain production in the northern Corn Belt. Agron. J. 94(5): 1020-1023.
33. Vanderlip, R. L., J. C. Okonkwo, and J. A. Schaffer. 1988. Corn response to precision of within-row plant spacing. Applied Agric. Res. 3(2): 116-119.
34. Yao, H., and L. Tian. 2004. Practical methods for geometric distortion correction of aerial hyperspectral imagery. Applied Eng. in Agric. 20(3): 367-375.