IPSIM-Cirsium, a Qualitative Expert-Based Model to Predict Infestations of Cirsium arvense
نویسندگان
چکیده
Throughout Europe, Cirsium arvense is the most problematic perennial weed in arable crops, whether managed under organic or conventional agriculture. Non-chemical control methods are limited with partial efficacy. Knowledge missing on their effect across a wide gradient of cropping systems and pedoclimates. To achieve effective management ensuring crop productivity while limiting reliance herbicide, expert-based models needed to gather knowledge individual levers interactions order (i) design assess finely tuned combinations farming practices different pedoclimates (ii) support decisions for control. Based expert-knowledge literature, we developed IPSIM- , hierarchical qualitative model which evaluates infestation as function practices, climate conditions, soil descriptors interactions. multi-attribute considering all possibilities between factors, it estimates rate field graded according four-level scale. The outputs were confronted independent observations collected 6 fields, over 16-year period 3 sites. showed satisfactory predictive quality (accuracy 78.2%). IPSIM-Cirsium can be used tool advisors researchers assist less reliant herbicides, farmers advisers ex-ante prototypes systems, teachers an educational share agroecological knowledge.
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ژورنال
عنوان ژورنال: Frontiers in agronomy
سال: 2021
ISSN: ['2673-3218']
DOI: https://doi.org/10.3389/fagro.2021.655383