Measuring sunflower nitrogen status from an unmanned aerial vehicle-based system and an on the ground device

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 38, Issue 1C22, 2011, Pages 33-37

  Aguera F ^a   Carvajal, F ^a   Perez M ^a  

^a UNIVERSITY OF ALMERÍA   (Spain)

Author keywords

Precision agriculture; Site specific farming; Unmanned aerial vehicle

Indexed keywords

AGRICULTURE; CHLOROPHYLL; CROPS; CULTIVATION; DIGITAL CAMERAS; INFRARED DEVICES; NITROGEN; NUTRIENTS; SOIL SURVEYS; UNMANNED AERIAL VEHICLES (UAV); VEHICLES; WATER CONTENT; WATER MANAGEMENT;

APPLICATION OF FERTILIZERS; LEAF CHLOROPHYLL CONTENT; NEAR-INFRARED WAVELENGTH; NITROGEN APPLICATION RATES; NORMALIZED DIFFERENCE VEGETATION INDEX; PRECISION AGRICULTURE; SITE-SPECIFIC FARMING; VISIBLE-LIGHT WAVELENGTHS;

NITROGEN FERTILIZERS;

EID: 84924042320     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Bannari, A., Morin, D., Bonn, F. and Huete, A.R., 1995. A review of vegetation indices. Remote Sensing Revews, 13, pp. 95-120.
2. Blakeman, R.H., Bryson, R., Dampney, P., 2000. Assessing crop condition in real time using high resolution satellite imagery. In: Aspects of Applied Biology 60, Remote Sensing in Agriculture, the Association of Applied Biologists, c/o Horticulture research International, Wellebourne, Warwick CV35 9EF, UK, pp. 163-172.
3. Brisco, B., Brown, R.J., Hirose, T., McNairn, H., Staenz, K., 1998. Precision agriculture and the role of remote sensing: A review. Canadian Journal of Remote Sensing, 24, pp. 315-327.
4. Cahn, M.D., Hummel, J.W., Brouer, B.H., 1994. Spatial analysis of soil fertility for site-specific crop management. Soil Science Society of America Journal, 58, pp. 1240-1248.
5. Cetin, H., Mueller, T.G. and Carter, P., 2002. Comparison of Ikonos and RDACS imagery for detection of nitrogen deficiency in corn. The high Spatial Resolution Commercial Imagery Workshop. US Geological Survey National Center, Reston, VA, USA, pp. 25-27.
6. Goddard, T.W., Lachapelle, G., Cannon, M.E., Penney, D.C., McKenzie, R.C., 1995. The potential of GPS and GIS in precision agriculture. In: Proceedings Geomatique V: La Route de L'Innovation, Montreal, PQ, Canada, 9-10 November, pp 75-89 (Canadian Institute of Geomatics).
7. Filella, I., Serrano, L., Peñuelas, J., 1995. Evaluating wheat nitrogen status with canopy reflectance índices and discriminat analysis. Crop Science, 35, pp. 1400-1405.
8. Han, S., Hedrickson, L., Ni, B., 2001. Camparison of satellite remote sensing and aerial photography for ability to detect in-season nitrogen stress in corn. An ASAE meeting presentation. Paper No. 01-1142, ASAE, St Joseph, MI, USA.
9. http://www.tetracam.com/.
10. http://www.microdrones.com/index-en.php (accessed 1 July 2011).
11. http://www.clarklabs.org/(accessed 1 July 2011).
12. Pearson, J.P., 1984. Control of Crop Productivity, Academic Press, New York.
13. Peña-Barragan, J.M., Lopez-Granados, F., Jurado-Exposito, M., García-Torres, L., Sunflower yield related to multitemporal aereal photography, land elevation and weed infestation. Precision Agriculture, 11, pp. 568-585.
14. Peñuelas, J., Filella, I., Serrano, L., Save, R., 1996. Cell Wall elasticity and wáter index (R970 nm/R900 nm) in wheat under different nitrogen availabilities. International Journal of Remote Sensing, 17, pp. 373-382.
15. Reyniers, M., Vrinsts, E., Baerdemaeker, J., 2004. Fine-scaled optical detection of nitrogen stress in grain crops. Optical Engineering, 43, pp. 3119-3129.
16. Reyniers, M., Vrinsts, E., 2006. Measuring wheat nitrogen status from space and ground-based platform. International Journal of Remote Sensing, 27(3), pp. 549-567.
17. th Annual National Wheat Industry Research Forum, New Orleans, LA, USA, 1-2 February 2001 (National Association of Wheat Growers/US Wheat Associates/Wheat Foods Council).