Active crop sensor to detect variability of nitrogen supply and biomass on sugarcane fields

Precision Agriculture

Volumn 13, Issue 1, 2012, Pages 33-44

  Portz, G ^a   Molin, J P ^a   Jasper, J ^b  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b Yara International ASA   (Germany)

Author keywords

Nitrogen management; Optical sensing; Reflectance; Yara N Sensor

Indexed keywords

AGRICULTURAL LAND; AGRICULTURAL MANAGEMENT; AGRICULTURAL PRODUCTION; ALGORITHM; BIOFUEL; BIOMASS; CARBON EMISSION; ENERGY EFFICIENCY; HARVESTING; INTENSIVE AGRICULTURE; MILL; NITROGEN; NUTRIENT UPTAKE; REFLECTANCE; SUGAR CANE;

BRAZIL; SAO PAULO [BRAZIL];

EID: 84856230850     PISSN: 13852256     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11119-011-9243-4     Document Type: Article

References (20)

1. ANFAVEA (2010). Associação Nacional dos Fabricantes de Veículos Automotores-Brasil. http://www. anfavea. com. br/tabelas. html. Accessed 16 September 2010.
2. BEN (2010). Balanço Energético Nacional-Brasil. https://www. ben. epe. gov. br/downloads/Relatorio_Final_BEN_2010. pdf. Accessed 16 September 2010.
3. Boddey, R. M., Urquiaga, S., Alves, B. J. R., & Reis, V. (2003). Endophytic nitrogen fixation in sugarcane: present knowledge and future applications. Plant and Soil, 252, 139-149.
4. Bredemeier, C., & Schmidhalter, U. (2005). Laser-induced chlorophyll fluorescence sensing to determine biomass and nitrogen uptake of winter wheat under controlled environment and field conditions. In J. V. Stafford (Ed.), Precision agriculture'05. Proceedings of the 5th European conference on precision agriculture (pp. 273-280). Wageningen, The Netherlands, Uppsala, Sweden: Academic Publishers.
5. FAO (2010). Food and Agriculture Organization, Faostat. http://faostat. fao. org/. Accessed 16 September 2010.
6. Franco, H. C. J., Trivelin, P. C. O., Faroni, C. E., Vitti, A. C., & Otto, R. (2010). Stalk yield and technological attributes of planted cane as related to nitrogen fertilization (Produção de colmos e atributos tecnológicos da cana planta relacionados com a adubação nitrogenada). Scientia Agricola, 67, 579-590.
7. Heege, H. J., Reusch, S., & Thiessen, E. (2008). Prospects and results for optical systems for site-specific on-the-go control of nitrogen-top-dressing in Germany. Precision Agriculture, 9, 115-131. doi: 10. 1007/s11119-008-9055-3.
8. Jasper, J., Reusch, S., & Link, A. (2009). Active sensing of the N status of wheat using optimized wavelength combination-impact of seed rate, variety and growth stage. In E. J. van Henten, D. Goense, & C. Lokhorst (Eds.), Precision agriculture'09 Proceedings of the 7th European conference on precision agriculture (pp. 23-30). Wageningen, The Netherlands: Academic Publishers.
9. Link, A., Jasper, J., & Reusch, S. (2005). Suitability of different crop parameters for the determination of site-specific nitrogen fertilizer demand. In J. V. Stafford (Ed.), Precision agriculture′05. Proceedings of the 5th European conference on precision agriculture (pp. 297-302). Wageningen, The Netherlands. Uppsala, Sweden: Academic Publishers.
10. Mutanga, O., & Skidmore, A. K. (2004). Narrow band vegetation indices overcome the saturation problem in biomass estimation. International Journal of Remote Sensing, 25, 3999-4014. doi: 10. 1080/01431160310001654923.
11. Ometto, R. A., Hauschild, M. Z., & Roma, W. N. L. (2009). Lifecycle assessment of fuel ethanol from sugarcane in Brazil. International Journal of Life Cycle Assessment, 14, 236-247. doi: 10. 1007/s11367-009-0065-9.
12. Prado, R. M., & Pancelli, M. A. (2008). Sugarcane ratoon response to nitrogen application in a no burn harvesting system. (Resposta de soqueiras de cana-de-açúcar à aplicação de nitrogénio em sistema de colheita sem queima). Bragantia, 67, 951-959.
13. Reusch, S. (2005). Optimum waveband selection for determining the nitrogen uptake in winter wheat by active remote sensing. In J. V. Stafford (Ed.), Proceedings of the 5th European conference on precision agriculture (pp. 261-266). Wageningen, The Netherlands: Academic Publishers.
14. R9. 2. North Carolina: Cary.
15. Silva, C. B., de Moraes, M. A. F. D., & Molin, J. P. (2011). Adoption and use of precision agriculture technologies in the sugarcane industry of São Paulo state, Brazil. Precision Agriculture, 12, 67-81. doi: 10. 1007/s11119-009-9155-8.
16. Singh, I., Srivastava, A. K., Chandna, P., & Gupta, R. K. (2006). Crop sensors for efficient nitrogen management in sugarcane: Potential and constraints. Sugar Technology, 8, 299-302. doi: 10. 1007/bf02943572.
17. Solie, J. B., Raun, W. R., & Stone, M. L. (1999). Submeter spatial variability of selected soil and bermudagrass production variables. Soil Science Society of America Journal, 63, 1724-1733.
18. Spiertz, J. H. J. (2010). Nitrogen, sustainable agriculture and food security. A review. Agronomy for Sustainable Development, 30, 43-55. doi: 10. 1051/agro: 2008064.
19. UNICA (2010). União da Indústria de cana-de-açúcar-Brasil. Union of the Brazilian sugarcane industry. http://www. unica. com. br/dadosCotacao/estatistica/. Accessed 16 September 2010.
20. Vitti, A. C., Trivelin, P. C. O., Gava, G. J. C., Penatti, C. P., Bologna, I. R., Faroni, C. E., et al. (2007). Sugarcane yield related to the residual nitrogen from fertilization and the root system (Produtividade da cana-de-açúcar relacionada ao nitrogênio residual da adubação e do sistema radicular). Pesquisa Agropecuaria Brasileira, 42, 249-256.