Dynamic calibration and image segmentation methods for multispectral imaging crop nitrogen deficiency sensors

Transactions of the American Society of Agricultural Engineers

Volumn 48, Issue 1, 2005, Pages 393-401

  Noh, H ^a   Zhang, Q ^a   Han, S ^b   Shin, B ^c   Reum, D ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b John Deere Ag Management Solutions   (United States)

^c Kangwon National University   (South Korea)

Author keywords

Crop canopy reflectance; Multispectral image sensor; Site specific crop management; SPAD measurement; Variable rate application

Indexed keywords

CALIBRATION; IMAGE SEGMENTATION; IMAGE SENSORS; IMAGING TECHNIQUES; NITROGEN; STRESSES;

CROP CANOPY; CROP MANAGEMENT; IMAGE-BASED SENSOR; SENSOR CALIBRATION;

CROPS;

CALIBRATION; IMAGE ANALYSIS; MULTISPECTRAL IMAGE;

CALIBRATION; FARM CROPS; IMAGE ANALYSIS; NITROGEN;

ZEA MAYS;

EID: 18644372432     PISSN: 00012351     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (22)

1. Bausch, W. C., and H. R. Duke. 1996. Remote sensing of plant nitrogen status in corn. Trans. ASAE 39(5): 1869-1875.
2. Borhan, M. S., S. Panigrahi, J. H. Lorenzen, and H. Gu. 2004. Multispectral and color imaging techniques for nitrate and chlorophyll determination of potato leaves in a controlled environment. Trans. ASAE 47(2): 599-608.
3. Chapman, S. C., and H. J. Barreto. 1997. Using a chlorophyll meter to estimate specific leaf nitrogen of tropical maize during vegetative growth. Agronomy J. 89(4): 557-562.
4. Gitelson, A. A., Y. J. Kaufman, and M. N. Merzlyak. 1997. Remote sensing of pigment content in higher plants: Principles and techniques. In Proc. 3rd International Airborne Remote Sensing Conference and Exhibition, 657-664. Copenhagen, Denmark. ERIM International.
5. Jones, C. L., N. O. Maness, M. L. Stone, and R. Jayasekara. 2004. Chlorophyll estimation using multispectral reflectance and height sensing. ASAE Paper No. 043081. St. Joseph, Mich.: ASAE.
6. Kim, Y. S., J. F. Reid, A. Hansen, and Q. Zhang. 2000. On-field crop stress detection system using multispectral imaging sensor. Agric. and Biosystems Eng. 1(2): 88-94.
7. Kim, Y., J. F. Reid, A. Hansen, Q. Zhang, and M. Dickson. 2001. Ambient illumination effect on a spectral image sensor for detecting crop nitrogen stress. ASAE Paper No. 011178. St. Joseph, Mich.: ASAE.
8. Lee, W., and S. W. Searcy. 2000. Multispectral sensor for detecting nitrogen in corn plants. ASAE Paper No. 001010. St. Joseph, Mich.: ASAE.
9. Ma, B. L., M. J. Morrison, and L. M. Dwyer. 1996. Canopy light reflectance and field greenness to assess nitrogen fertilization and yield of maize. Agronomy J. 88(6): 915-920.
10. Moran, M. S., S. Inoue, and E. M. Barnes. 1997. Opportunities and limitations for image-based remote sensing in precision crop management. Remote Sensing of Environ. 61(3): 319-346.
11. Noh, H. K., Q. Zhang, B.-S. Shin, and S. Han. 2003. Multispectral image sensor for detection of nitrogen deficiency in corn by using an empirical line method. ASAE Paper No. 031135. St. Joseph, Mich.: ASAE.
12. Piekielek, W. L., and R. H. Fox. 1992. Use of chlorophyll meter to predict sidedress nitrogen requirements for maize. Agronomy J. 84(1): 59-65.
13. Schepers, J. S., M. G. Moravek, E. E. Alberts, and K. D. Frank. 1991. Maize production impacts on groundwater quality. J. Environ. Quality 20(1): 12-16.
14. Shapiro, C. A. 1999. Using a chlorophyll meter to manage nitrogen applications to corn with high-nitrate irrigation water. Comm. in Soil Science and Plant Analysis 30(7-8): 1037-1049.
15. Stone, M. L., J. B. Solie, W. R. Raun, R. W. Whiteney, S. L. Taylor, and J. D. Ringer. 1996. Use of spectral radiance for correcting in-season fertilizer nitrogen deficiencies in winter wheat. Trans. ASAE 39(5): 1623-1631.
16. Thai, C. N., M. D. Evans, X. Deng, and A. F. Theisen. 1998. Visible and NIR imaging of bush beans grown under different nitrogen treatments. ASAE Paper No. 983074. St. Joseph, Mich.: ASAE.
17. Thorp, K. R., L. Tian, H. Yao, and L. Tang. 2004. Narrow-band and derivative-based vegetation indices for hyperspectral data. Trans. ASAE 47(1): 291-299.
18. Tumbo, S. D., D. G. Wagner, and P. H. Heinemann. 2002. On-the-go sensing of chlorophyll status in corn. Trans. ASAE 45(4): 1207-121.
19. Van Es, H. M., and N. M. Trautmann. 1990. Pesticide Management for Water Quality: Principles and Practices. Ithaca, N.Y: Cornell University Press.
20. Waskom, R. M., D. G. Westfall, D. E. Spellman, and P. N. Soltanpour. 1996. Monitoring nitrogen status of corn with a portable chlorophyll meter. Comm. in Soil Science and Plant Analysis 27(3-4): 545-560.
21. Yang, C., J. H. Everitt, and J. M. Bradford. 2000. Mapping grain sorghum growth and yield variations using airborne multispectral digital imagery. Trans. ASAE 43(6): 1927-1938.
22. Zhang, N., M. Wang, and N. Wang. 2002. Precision agriculture - A worldwide overview. Computers and Electronics in Agric. 36(2-3): 113-132.