Recently Cross-functional Quality Management (CFQM) increased intensively. However, the applications of CFQM in agriculture are not much. This article describes an approach for examination of job of several producer groups using the fuzzy indicator methodology, and its application for evaluation of sowing of spring wheat is proposed. The main advantage of the developed approach is the ease with which the condition attributes defined by producer groups can be estimated by expert panel.Keywords: cross-functional quality management, fuzzy indicator, sowing of spring plants This work is licensed under a Creative Commons Attribution 3.0 License.

Biogas production is a clean, low carbon technology that is useful for efficient management and use of organic waste. Composition of organic waste plays an important role in biogas production. In the present investigation, fuzzy indicator modeling has been utilized for assessing 10 compositions of organic waste. Evaluation of these compositions was carried out using individual fuzzy indicators with two variables: "Methane" and "Hydrogen sulfide". Alternative ranking of variants of composition is given.

In this article it is considered one stage of Cross-functional Quality Management (CFQM) targeted to assess decisions of producer groups. For this, an algorithm based on combination of expert estimates, the fuzzy indicator methodology and multi attribute decision-making techniques was elaborated. With aim to illustrate this algorithm two examples are prepared.