Comparison of two active remote canopy sensors to develop N fertilizer algorithms

Precision Agriculture 2011 - Papers Presented at the 8th European Conference on Precision Agriculture 2011, ECPA 2011

Volumn , Issue , 2011, Pages 514-522

  Shaver, T M ^a   Westfall, D G ^b   Khosla, R ^b  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^b Veterinary Dentistry and Oral Surgery   (United States)

Author keywords

Crop canopy remote sensing; Maize; Nitrogen; Nitrogen algorithm

Indexed keywords

CROPS; ENVIRONMENTAL TECHNOLOGY; FERTILIZERS; GRAIN (AGRICULTURAL PRODUCT); NITROGEN; REMOTE SENSING;

ALGORITHM DEVELOPMENT; CROP CANOPY; ECONOMIC RETURNS; FURROW IRRIGATION; MAIZE; MAIZE (ZEA MAYS L.); PRECISION FARMING; RECOMMENDATION ALGORITHMS;

ALGORITHMS;

EID: 84893399014     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Alchanatis, V., Schmilovitch, Z. and Meron, M.. 2005. In-field assessment of single leaf nitrogen status by spectral reflectance measurements. Precision Agriculture. 6:25-39.
2. Campbell, J.B. 2002. Introduction to remote sensing. 3rd ed. The Guildford Press. New York, New York, USA.
3. Chang, J., Clay, D.E., Dalsted, K, Clay, S. and O'Neill, M. 2003. Corn (Zea mays L.) yield prediction using multispectral and multidate reflectance. Agronomy Journal 95:1447-1453.
4. Ercoli, L., Mariotti, M., Masom, A. and Massantini, F. 1993. Relationship between nitrogen and chlorophyll content and spatial properties in maize leaves. European Journal of Agronomy 2(2) 113-117.
5. Freeman, K.W., Girma, K., Arnall, D.B., Mullen, R.W., Martin, K. L., Teal, R.K. and Raun, W.R. 2007. By-plant prediction of corn forage biomass and nitrogen uptake at various growth stages using remote sensing and plant height. Agronomy Journal 99:530-536.
6. Inman, D., Khosla, R., Reich, R.M. and Westfall, D.G. 2007. Active remote sensing and grain yield in irrigated maize. Precision Agriculture. 8:241-252.
7. Kitchen, N. R., Sudduth, K. A., Drummond, S. T., Scharf, P. C., Palm, H. L., Roberts, D. F. and Vories, E. D. 2010. Ground-Based Canopy Reflectance Sensing for Variable-Rate Nitrogen Corn Fertilization. Agronomy Journal 102:71-84.
8. Osborne, S.L., Schepers, J.S. and Schlemmer, M.R. 2004. Using multi-spectral imagery to evaluate corn grown under nitrogen and drought stressed conditions. Journal of Plant Nutrition 27(11):1917- 1929.
9. Raun, W.R., Solie, J.B., Johnson, G.V., Stone, M.L., Mullen, R.W., Freeman, K.W., Thomason, W.E. and Lukina, E.V. 2002. Improving nitrogen use efficiency in cereal grain production with optical sensing and variable rate application. Agronomy Journal 94:815-820.
10. Ritchie, S.W., Hanway, J.J. and Benson, G.O. 1986. How a corn plant develops.Special Report 48. Iowa State Cooperative Extension Service, Ames, IA, USA.
11. Shaver, T.M. 2009. Ground based active remote sensors for precision nitrogen management in irrigated maize production. Ph.D. Dissertation. Colorado State University, Fort Collins, CO, USA.
12. Shaver, T.M., Khosla, R. and Westfall, D. G. 2010. Evaluation of two ground-based active crop canopy sensors in maize: growth stage, row spacing, and sensor movement speed. Soil Science Society of America Journal 74:2101-2108.
13. Solari, F., Shanahan, J.F., Ferguson, R.B., Adamchuck, V.L. 2010. An Active Sensor Algorithm for Corn Nitrogen Recommendations Based on a Chlorophyll Meter Algorithm. Agronomy Journal 102:4:1090-1098.
14. Sripada, R.P., Heiniger, R.W., White, J.G. and Weisz, R. 2005. Aerial color infrared photography for determining late-season nitrogen requirements in corn. Agronomy Journal 97:1443-1451.