Site specific calibration of a crop model by assimilation of remote sensing data: a tool for diagnosis and recommendation in precision agriculture

Precision Agriculture

Volumn , Issue , 2024, Pages 253-258

  Guerif M ^a   Hollecker, D ^a   Beaudoin, N ^a   Bruchou, C ^a   Houles V ^a   Machet, J M ^a   Mary, B ^a   Moulin, S ^a   Nicoullaud, B ^b  

^a CEMAGREF   (France)

^b Centre de recherche d'Orléans   (France)

Author keywords

agronomic recommendation; assimilation; crop model; remote sensing

Indexed keywords

EID: 9244243985     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (6)

1. Brisson et al, 1998. STICS: a generic model for the simulation of crops and their water and nitrogen balance. I. Theory and parameterisation applied to wheat and corn. Agronomie 18 311-346.
2. Guérif M., Duke C., 1998. Calibration of the SUCROS emergence and early growth module for sugar beet using optical remote sensing data assimilation. European Journal of Agronomy 9 127-136.
3. Guérif M., Beaudoin, N, Durr, C., Houles, V., Machet, J. M., Mary, B., Moulin, S., Richard, G. 2001. Designing a field experiment for assessing soil and crop spatial variability and defining site-specific management strategies. In: Proceedings 3rd European Conference on Precision Agriculture, eds. G Grenier & S Blackmore, agro Montpellier, France p. 677-682.
4. Houlès V., Nicoullaud B., Beaudoin N., Mary B., 2002. Sensitivity of a crop model to pedotransfer functions at the field scale. Proceedings VII Congress of the European Society for agronomy, Cordoba (Spain), 15-18 july 2002, 631-632
5. Mary B., Beaudoin N., Machet J.M., Bruchou C., Aries F., 2001. Characterization and analysis of soil variability within two agricultural fields: the case of water and mineral N profiles. In: Proceedings 3rd European Conference on Precision Agriculture, eds. G Grenier & S Blackmore, agro Montpellier, France. p. 431-436
6. Ruget, F.; Brisson, N.; Delécolle, R.; Faivre, R., 2002. Sensitivity analysis of a crop simulation model, STICS, in order to choose the main parameters to be estimated. Agronomie, 22 (2), 133-158.