The development of a methodology using fuzzy logic to assess the performance of cropping systems based on a case study of maize in the Po Valley

Soil Use and Management - Tập 29 Số 4 - Trang 576-585 - 2013
Marco Carozzi1, Simone Bregaglio2,1, Barbara Scaglia1, Ettore Bernardoni1, Marco Acutis1, Roberto Confalonieri2,1
1Department of Agricultural and Environmental Sciences, Production, Landscape, Agroenergy, University of Milan, Via Celoria 2, 20133 Milan, Italy
2Cassandra Lab

Tóm tắt

AbstractThe development of tools for evaluating the sustainability of cropping systems is fundamental to providing reliable information on crop performance. In this study, an integrated index [Performance Index (PI)] was developed based on environmental, production and cost variables. In this approach, data are aggregated using a fuzzy logic‐based procedure to deal with the inherent subjectivity at each aggregation step. The PI was tested for three cropping systems in the Po Valley (northern Italy) where maize was grown using minimum tillage, sod seeding and conventional tillage. The methodology proved to be effective for evaluating the three systems. In contrast to other methods for evaluating cropping systems such as those based on agro‐ecological indicators (AEIs), direct aggregation of measured variables reduces the risk of losing information because the level of abstraction in the mathematical formalization of AEIs is usually higher. This advantage is counterbalanced by an increase in the data needed for the evaluation process. The use of domain experts and the mathematical management of subjective decisions should encourage the use of the methodology in other regions and cropping systems.

Từ khóa


Tài liệu tham khảo

10.1016/S0167-8809(01)00174-8

10.1016/S0167-8809(01)00252-3

10.2134/agronj2002.1222

10.1007/s12161-008-9021-8

Bocchi S., 2008, Wet Aggregate Stability Index: precision assessment of Tiulin method trough an inter‐laboratory test, Agrochimica, 2, 71

10.1051/agro:2008058

Bouchon‐Meunier B., 1993, La logique floue

10.4141/cjps92-167

10.1016/j.agrformet.2011.04.003

10.1016/j.scitotenv.2012.12.082

10.1016/j.eja.2009.02.003

10.1016/j.ecolmodel.2009.02.017

Costantini E.A.C. L'Abate G. Barbetti R. Fantappié M. Lorenzetti R.&Magini S.2012 Soil map of Italy scale 1:1.000.000. Available at:http://www.soilmaps.it/; accessed 10/4/2013.

Donatelli M., 2004, Development of pedotransfer functions in soil hydrology, 363

10.1016/S0167-8809(03)00017-3

10.1016/j.eja.2010.11.001

INEA 2012.Italian Institute of Agricultural Economics: Italian Agriculture In Figures 2012. Available at:http://dspace.inea.it/bitstream/inea/292/3/2101.pdf; accessed 10/4/2013.

ISTAT 2001.Fifth general census of Agriculture. Available at:http://censagr.istat.it/; accessed 10/4/2013.

10.1017/CBO9781139174084

Köppen W., 1936, Handbuch der Klimatologie, 1

10.1016/j.envsoft.2012.01.011

Lasardi K.E., 1998, A simple respirometric technique for assessing compost stability, Water Resource, 32, 3717

10.2134/agronj2007.0222

McKee G.W., 1964, A coefficient for computing leaf area in hybrid corn, Agronomy Journal, 70, 58

10.2307/2401670

10.1016/j.envsoft.2011.03.001

10.1016/j.biosystemseng.2007.03.012

10.1016/j.agee.2011.06.014

10.1111/j.1475-2743.2010.00298.x

10.1051/agro:2007043

10.1016/j.chemosphere.2006.09.010

10.1016/S1001-0742(08)62319-0

10.1109/TRA.2002.1019461

10.1016/S0065-2113(08)60947-5

Soil Survey Staff, 1996, Soil survey laboratory methods manual. Soil Survey Investigations Rep. 42

10.1016/0020-0255(85)90026-X

10.1038/nature01014

Tschirley J.B.1997.Land quality indicators and their use in sustainable agriculture and rural development. In: FAO Land and Water Bulletin. Available at:http://www.fao.org/docrep/W4745E/W4745E00.htm; accessed 10/4/2013).

10.1007/s10661-006-7981-y

Thông tin
Thông tin xuất bản

Soil Use and Management

Tập 29 Số 4

576-585

Thông tin tác giả