Imaging spectroscopy for on-farm measurement of grassland yield and quality

Agronomy Journal

Volumn 98, Issue 5, 2006, Pages 1318-1325

  Schut, A G T ^a,b   Van Der Heijden, G W A M ^a   Hoving, I ^a   Stienezen, M W J ^a   Van Evert, F K ^a   Meuleman, J ^a  

^a WAGENINGEN UNIVERSITY   (Netherlands)

^b CURTIN UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

COSTS; DAIRIES; FARMS; IMAGING TECHNIQUES;

GRASSLAND MANAGEMENT; HYPERSPECTRAL IMAGES; IMAGING SPECTROSCOPY; MOBILE MEASUREMENT SYSTEM;

SPECTROSCOPIC ANALYSIS;

AGRICULTURE; COSTS; DAIRY PRODUCTS; IMAGE ANALYSIS; SPECTROCHEMICAL ANALYSIS;

TRIFOLIUM;

EID: 33749168015     PISSN: 00021962     EISSN: None     Source Type: Journal    
DOI: 10.2134/agronj2005.0225     Document Type: Article

References (41)

1. Asner, G.P. 1998. Biophysical and biochemical sources of variability in canopy reflectance. Remote Sens. Environ. 64:234-253.
2. Baker, C.W., and R.J. Barnes. 1990. The application of near infrared spectroscopy to forage evaluation in ADAS. p. 337-352. In J. Wiseman and D.J.A. Cole (ed.) Feedstuff evaluation. Butterworths, London.
3. Bausch, W.C., K. Diker, A.F.H. Goetz, and B. Curtis. 1998. Hyperspectral characteristics of nitrogen deficient corn. ASAE Pap. no. 983061. ASAE, St Joseph, MI.
4. Berardo, N. 1997. Prediction of the chemical composition of white clover by near-infrared reflectance spectroscopy. Grass Forage Sci. 52:27-32.
5. Blackburn, G.A. 1998. Quantifying chlorophylls and carotenoids at leaf and canopy scales: An evaluation of some hyperspectral approaches. Remote Sens. Environ. 66:273-285.
6. Clevers, J.G.P.W., G.W.A.M. van der Heijden, and A.G.T. Schut. 2005. A method using different remote sensing techniques for estimating grassland bio-physical variables. p. 835-849. In Imaging spectroscopy-New quality in environmental studies: EARSel Worksh. on Imaging Spectroscopy, 4th, Warsaw, Poland. 27-29 Apr. 2005. Wageningen Acad. Publ., Wageningen, the Netherlands.
7. Curran, P.J. 1989. Remote sensing of foliar chemistry. Remote Sens. Environ. 30:271-278.
8. Curran, P.J., J.L. Dungan, B.A. Macler, S.E. Plummer, and D.L. Peterson. 1992. Reflectance spectroscopy of fresh whole leaves for the estimation of chemical concentration. Remote Sens. Environ. 39:153-166.
9. Daughtry, C.S.T., E.R. Hunt, P.C. Doraiswamy, and J.E. McMurtrey. 2005. Remote sensing the spatial distribution of crop residues. Agron. J. 97:864-871.
10. Donoho, D., M.R. Duncan, X. Huo, and O. Levi. 1999. Wavelab 802 for MatLab 5.x. Available at www-stat.stanford.edu/~wavelab/ (accessed 15 May 2006; verified 10 July 2006). Stanford Univ., Stanford, CA.
11. Fearn, T. 2001. Standardisation and calibration transfer for near infrared instruments: A review. J. Near Infrared Spectrosc. 9:229-244.
12. Feundale, R.N., N.A. Woody, H.W. Tan, A.J. Myles, S.D. Brown, and J. Ferre. 2002. Transfer of multivariate calibration models: A review. Chemom. Intell. Lab. Syst. 64:181-192.
13. Gabriels, P.C.J., and J.V. Van den Berg. 1993. Calibration of two techniques for estimating herbage mass. Grass Forage Sci. 48:329-335.
14. Geladi, P., and B.R. Kowalski. 1986. Partial least squares regression: A tutorial. Anal. Chim. Acta 185:1-17.
15. Givens, D.I., and E.R. Deaville. 1999. The current and future role of near infrared reflectance spectroscopy in animal nutrition: A review. Aust. J. Agric. Res. 50:1131-1145.
16. Jacquemoud, S., J. Verdebout, G. Schmuck, G. Andreoli, and B. Hosgood. 1995. Investigation of leaf biochemistry by statistics. Remote Sens. Environ. 54:180-188.
17. Lophaven, S.N., H.B. Nielsen, and J. Sondergaard. 2002. DACE, a Matlab kriging toolbox. Version 2.0. Available at www2.imm.dtu. dk/~hbn/dace/ (accessed 15 May 2006; verified 10 July 2006). Technical Univ. of Denmark, Kgs. Lyngby.
18. Luengo Hendriks, C.L., L. Van Vliet, B. Rieger, M. Van Ginkel, and R. Ligtering. 2005. DIPimage user manual. Available at www.ph. tn.tudelft.nl/ DIPlib/docs/dipimage_user_manual.pdf (accessed 15 May 2006; verified 10 July 2006). Delft Univ. of Technology, Delft, the Netherlands.
19. Matlab. 2000. Matlab 6.0, release 12. The Mathworks, Natick, MA.
20. Molema, G.J., J. Meuleman, J.G. Kornet, A.G.T. Schut, and J.J.M.H. Ketelaars. 2003. A mobile imaging spectroscopy system as tool for crop characterization in agriculture. p. 499-500. In A. Werner and A. Jarfe (ed.) Eur. Conf. on Precision Agric., 4th, Berlin. 15-19 June 2003. Wageningen Acad. Publ., Wageningen, the Netherlands.
21. Moran, M.S., Y. Inoue, and E.M. Barnes. 1997. Opportunities and limitations for image-based remote sensing in precision crop management. Remote Sens. Environ. 61:319-346.
22. Nagler, P.L., Y. Inoue, E.P. Glenn, A.L. Russ, and C.S.T. Daughtry. 2003. Cellulose absorption index (CAI) to quantify mixed soil-plant litter scenes. Remote Sens. Environ. 87:310-325.
23. Park, R.S., R.E. Agnew, F.J. Gordon, and R.W.J. Steen. 1998. The use of near infrared reflectance spectroscopy (NIRS) on undried samples of grass silage to predict chemical composition and digestibility parameters. Anim. Feed Sci. Technol. 72:155-167.
24. Paul, C., and A. Häusler. 2002. Developing the NIRS Harvest Line concept for forage trials. Grassl. Sci. Eur. 7:464-465.
25. Rosso, O.A., S. Blanco, J. Yordanova, V. Kolev, A. Figliola, M. Schurmann, and E. Basar. 2001. Wavelet entropy: A new tool for analysis of short duration brain electrical signals. J. Neurosci. Methods 105:65-75.
26. Ruano-Ramos, A., A. Garcia-Ciudad, and B. Garcia-Criado. 1999. Determination of nitrogen and ash contents in total herbage and botanical components of grassland systems with near infra-red spectroscopy. J. Sci. Food Agric. 79:137-143.
27. Sanderson, M.A., C.A. Rotz, S.W. Fultz, and E.B. Rayburn. 2001. Estimating forage mass with a commercial capacitance meter, rising plate meter, and pasture ruler. Agron. J. 93:1281-1286.
28. Schut, A.G.T. 2003. Imaging spectroscopy for characterisation of grass swards. M.S. thesis. Wageningen Univ., Wageningen, the Netherlands.
29. Schut, A.G.T., and J.J.M.H. Ketelaars. 2003a. Assessment of seasonal dry-matter yield and quality of grass swards with imaging spectroscopy. Grass Forage Sci. 58:385-396.
30. Schut, A.G.T., and J.J.M.H. Ketelaars. 2003b. Monitoring growth of grass swards using imaging spectroscopy. Grass Forage Sci. 58:276-286.
31. Schut, A.G.T., J.J.M.H. Ketelaars, J. Meuleman, J.G. Kornet, and C. Lokhorst. 2002. Novel imaging spectroscopy for grass sward characterisation. Biosyst. Eng. 82:131-141.
32. Schut, A.G.T., C. Lokhorst, M.M.W.B. Hendriks, J.G. Kornet, and G.J. Kasper. 2005. Potential of imaging spectroscopy as tool for pasture management. Grass Forage Sci. 60:34-45.
33. Silverman, B.W. 1985. Some aspects of spline smoothing approach to nonparametric regression curve fitting. J. R. Stat. Soc. Ser. B 47:1-22.
34. Stienezen, M.W.J., G.J. Kasper, G. Holshof, G.J. Molema, A.G.T. Schut, J.J. Meuleman, and M.C.J. Smits. 2005. Snelle meetmethoden als managementinstrument bij de teelt van ruwvoer. Praktijkrapport Rundvee 63. Wageningen Univ. and Res. Ctr., Lelystad, the Netherlands.
35. Tilley, J.M.A., and R.A. Terry. 1963. A two-stage technique for the in-vitro digestion of forage crops. J. Br. Grassl. Soc. 18:104-111.
36. Van der Heijden, G.W.A.M., and C.A. Glasbey. 2003. Calibrating spectral images using penalized likelihood. Real-Time Imaging 9:231-236.
37. Van der Voet, H. 1994. Comparing the predictive accuracy of models using a simple randomization test. Chemom. Intell. Lab. Syst. 25:313-323.
38. Van Leeuwen, W.J.D., and A.R. Huete. 1996. Effects of standing litter on the biophysical interpretation of plant canopies with spectral indices. Remote Sens. Environ. 55:123-138.
39. Wang, Y.D., and B.R. Kowalski. 1992. Calibration transfer and measurement stability of near-infrared spectrometers. Appl. Spectrosc. 46:764-771.
40. Wise, B.M., N.B. Gallagher, R. Bro, J.M. Shaver, W. Windig, and R.S. Koch. 2005. PLS_Toolbox version 3.5 for use with MATLAB. Eigenvector Research, Manson, WA.
41. Zagolski, F., V. Pinel, J. Romier, D. Alcayde, J. Fontanari, J.P. Gastellu-Etchegorry, G. Giordano, G. Marty, E. Mougin, and R. Joffre. 1996. Forest canopy chemistry with high spectral resolution remote sensing. Int. J. Remote Sens. 17:1107-1128.