graduate student from 01.01.2023 until now
Krasnodar Scientific Research Institute for Storage and Processing of Agricultural Products – branch of the Federal State Budgetary Scientific Institution “North Caucasian Federal Scientific Center for Horticulture, Viticulture, Winemaking" (Department of Storage and Complex Processing of Agricultural Raw Materials, Junior Researcher)
graduate student
Krasnodar Scientific Research Institute for Storage and Processing of Agricultural Products – branch of the Federal State Budgetary Scientific Institution “North Caucasian Federal Scientific Center for Horticulture, Viticulture, Wine-making" (Postgraduate student, Junior Researcher)
from 01.01.2023 until now
VAK Russia 4.1.1
VAK Russia 4.1.2
VAK Russia 4.1.3
VAK Russia 4.1.4
VAK Russia 4.1.5
VAK Russia 4.2.1
VAK Russia 4.2.2
VAK Russia 4.2.3
VAK Russia 4.2.4
VAK Russia 4.2.5
VAK Russia 4.3.5
UDC 635.64
The aim of the study is to investigate the interactions between the causes of food losses of fresh toma-toes of different colors (brown and crimson) using interpretative structural modeling (ISM). Objectives: analysis of scientific and technical literature to identify the causes of food losses of fresh tomatoes occurring at all stages of the production and distribution chain; conducting two independent sessions of interpretative structural modeling (ISM) - for brown and crimson tomatoes; comparative analysis of the constructed hierarchies and classification matrices of the cross-influence of factors (MICMAC analysis). The object of the study were eleven causes of food losses of fresh tomatoes, identified through the analysis of scientific sources. As a result of the study, all identified causes of food losses were divided into four classes: autonomous, dependent, linking, and independent. It was established that a differentiated approach is necessary for effective food loss management. For brown tomatoes, the priority is to address the key causes of "sorting and calibration errors," "overripe fruit storage," "lack of pre-cooling," and "failure to comply with storage conditions." For raspberry tomatoes, the priority is to address the causes of "sorting and calibration errors" and "overripe fruit sto¬rage." The development of targeted solutions, such as protective coatings, allows for the effective resolution of both stand-alone and critical issues (such as "insufficient protection against pathogens after harvest"), ensuring comprehensive product protection. Strategic investments in targeted technologies, such as protective film-forming coatings and optimization of critical stages (sorting, cooling), enable proactive interventions against identified root causes. This approach will ensure maximum impact in maintaining product quality and increasing the sustainability of the entire fresh tomato production and value chain.
tomatoes, supply chain, food loss, loss causes, interpretive structural modeling, cross-factor influence method, independent causes
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