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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
Author(s) -
Carozzi M.,
Bregaglio S.,
Scaglia B.,
Bernardoni E.,
Acutis M.,
Confalonieri R.
Publication year - 2013
Publication title -
soil use and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.709
H-Index - 81
eISSN - 1475-2743
pISSN - 0266-0032
DOI - 10.1111/sum.12066
Subject(s) - cropping , fuzzy logic , agricultural engineering , computer science , sustainability , cropping system , tillage , index (typography) , mathematics , environmental science , agriculture , artificial intelligence , engineering , geography , agronomy , ecology , archaeology , world wide web , biology
The 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 ( AEI s), direct aggregation of measured variables reduces the risk of losing information because the level of abstraction in the mathematical formalization of AEI s 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.