Methodological considerations for redesigning sustainable cropping systems: the value of data-mining large and detailed farm data sets at the cropping system level

2020年第7卷第1期

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《农业科学与工程前沿（英文）》 >> 2020年第7卷第1期 doi: 10.15302/J-FASE-2019292

Methodological considerations for redesigning sustainable cropping systems: the value of data-mining large and detailed farm data sets at the cropping system level

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. Agroecology Research Unit, AgroSup Dijon, INRAE. Univ. Bourgogne, Univ. Bourgogne Franche-Comté, F-21000 Dijon, France.. Dijon Céréales, F-21600 Longvic, France

录用日期： 2019-12-16 发布日期：2019-12-16

摘要

Redesigning cropping and farming systems to enhance their sustainability is mainly addressed in scientific studies using experimental and modeling approaches. Large data sets collected from real farms allow for the development of innovative methods to produce generic knowledge. Data mining methods allow for the diversity of systems to be considered holistically and can take into account the diversity of production contexts to produce site-specific results. Based on the very few known studies using such methods to analyze the crop management strategies affecting pesticide use and their effect on farm performance, we advocate further investment in the development of large data sets that can support future research programs on farming system design.

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data mining ; holistic ; Integrated Pest Management ; economics ; DEPHY network.

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