EIS Pesticides: An environmental information system to characterize agricultural activities and calculate agro-environmental indicators at embedded watershed scales

Agricultural Systems

Volumn 122, Issue , 2013, Pages 11-21

  Vernier, Françoise ^a   Miralles, André ^b   Pinet, François ^d   Carluer, Nadia ^c   Gouy, Véronique ^c   Molla, Guilhem ^b   Petit, Kevin ^a  

^a CEMAGREF   (France)

^b UMR TETIS   (France)

^c UR MALY   (France)

^d Cemagref   (France)

Author keywords

Agriculture; Data warehouse; Embedded scales; Indicators; Pesticides

Indexed keywords

AGRI-ENVIRONMENTAL POLICY; CATCHMENT; COST-BENEFIT ANALYSIS; DATA SET; DECISION MAKING; IMPLEMENTATION PROCESS; PESTICIDE; WATER RESOURCE; WATERSHED;

EID: 84885484696     PISSN: 0308521X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agsy.2013.07.005     Document Type: Article

References (18)

1. Bédard, Y., 1997. Spatial OLAP, Vidéoconférence. 2ème Forum annuel sur la R-D, Géomatique VI: Un monde accessible, 13-14 November, Montréal, Canada.
2. Biarnès A., Bailly J.S., et al. Identifying indicators of the spatial variation of agricultural practices by a tree partitioning method: the case of weed control practices in a vine growing catchment. Agric. Syst. 2009, 99(2-3):105-116.
3. Blavet D., De Noni G., et al. Effect of land use and management on the early stages of soil water erosion in French Mediterranean vineyards. Soil Till. Res. 2009, 106(1):124-136.
4. Bindraban P.S., Stoorvogel J.J., Jansen D.M., Vlaming J., Groot J.J.R. Land quality indicators for sustainable land management: proposed method for yield gap and soil nutrient balance. Agric. Ecosyst. Environ. 2000, 81:103-112.
5. Giret A. L'hydrologie de la Charente entre nature et anthropisation (1960-1994). Sci. Changements Planétaires/Sécheresse 2002, 13(2):105-112.
6. Mignolet C., Schott, et al. Spatial dynamics of farming practices in the Seine basin: methods for agronomic approaches on a regional scale. Sci. Total Environ. 2007, 375(1-3):13-32.
7. Miralles, A., Pinet, F., Carluer, N., Vernier, F., Bimonte, S., Lauvernet, C., Gouy, V., 2011. EIS pesticide: an information system for data and knowledge capitalization and analysis. In: Euraqua-PEER Scientific Conference 26-28/10/2011, Montpellier, France.
8. Mongruel R., Prou J., Ballé-Béganton J., Lample M., Vanhoutte-Brunier A., Réthoret H., Pérez Agúndez J., Vernier F., Bordenave P., Bacher C. Modeling soft institutional change and the improvement of freshwater governance in the coastal zone. Ecol. Soc. 2011, 16(4):15.
9. Nilakanta S., Scheibe K., Rai A. Dimensional issues in agricultural data warehouse designs. Comput. Electron. Agric. 2008, 60(2):263-278.
10. Ortega R.A., Santibáñez O.A. Determination of management zones in corn (Zea mays L.) based on soil fertility. Comput. Electron. Agric. 2007, 58(1):49-59.
11. Pinet, F., Miralles, A., Bimonte, S., Vernier, F., Carluer, N., Gouy, V., Bernard, S., 2010. The use of UML to design agricultural data warehouses. In: AgEng 2010, International Conference on Agricultural Engineering, 06-08/09/2010, Clermont-Ferrand, France.
12. Reus J., Leendertse P., Bockstaller C., Fomsgaard I., Gutsche V., Lewis K., Nilsson C., Pussemier L., Trevisan M., van der Werf H., Alfarroba F., Blümel S., Isart J., McGrath D., Seppälä T. Comparison and evaluation of eight pesticide environmental risk indicators developed in Europe and recommendations for future use. Agric. Ecosyst. Environ. 2002, 90:177-187.
13. Saqalli M., Caron P., et al. The PBRM (perception-based regional mapping): a spatial method to support regional development initiatives. Appl. Geogr. 2009, 29(3):358-370.
14. Schneider M. A general model for the design of data warehouses. Int. J. Prod. Econ. 2008, 112(1):309-325.
15. Schulze C., Spilke J., Lehner W. Data modeling for precision dairy farming within the competitive field of operational and analytical tasks. Comput. Electron. Agric. 2007, 59(1):39-55.
16. Vernier, F., Bordenave, P., Chavent, M., Leccia, O., Petit, K., 2010. Modelling scenarios of agriculture changes on freshwater uses and water quality at a large watershed scale: the case of the Charente watershed (France). In: International Congress on Environmental Modelling and Software, 05-08/07/2010, Ottawa, Canada, p. 9.
17. Wood E.F., Sivapalan M., Beven K., Band L. Effects of spatial variability and scale with implications to hydrologic modelling. J. Hydrol. 1988, 102:29-47.
18. Yost M. Data warehousing and decision support at the National Agricultural Statistics Service. Soc. Sci. Comput. Rev. 2000, 18(4):434-441.