Previous Article in Journal
Regional Strategy Composition: A Hierarchical-Action Reinforcement Learning Framework for Dynamic Smart-Meter Association over 5G NR mMTC Networks
Previous Article in Special Issue
A Hybrid AI-Driven Knowledge-Based Expert System for Optimizing Gear Design: A Case Study for Education
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

International Digital System for Collective Food Security Support

Department of Infocognitive Technologies, Moscow Polytechnic University, 107023 Moscow, Russia
*
Author to whom correspondence should be addressed.
Future Internet 2026, 18(7), 338; https://doi.org/10.3390/fi18070338 (registering DOI)
Submission received: 30 April 2026 / Revised: 18 June 2026 / Accepted: 23 June 2026 / Published: 26 June 2026
(This article belongs to the Special Issue ICT and AI in Intelligent E-Systems—2nd Edition)

Abstract

(1) Background. Food sovereignty and local sustainability are ensured by large agro-industrial holdings and small-scale farms; this synergy forms a complementary model of the agrifood system. Maintaining this model’s balance requires the creation of a unified digital ecosystem that integrates all suppliers and consumers into production chains, thereby eliminating unnecessary intermediaries. (2) Methods. This study employs a comprehensive methodological framework, including systems analysis and mathematical modeling, to develop service algorithms. Object-oriented design and software engineering methods facilitated the development and implementation of a service-oriented architecture for the digital system. (3) Results. The study presents a multi-tier architecture featuring an integration bus based on a service-oriented approach. To implement direct supply-and-demand coupling strategies, the system integrates both internal services (microeconomic indicators) and external services (macroeconomic indicators). Additionally, a recommender system based on neural networks and mathematical models was developed to personalize consumer requests and manage product sales. (4) Conclusions. The software solution is consistent with the AgTech 4.0 concept and enables the creation of a seamless environment for interstate trade. The implementation of the system enhances the transparency of the “product footprint”, facilitates the redistribution of surpluses, and, consequently, contributes to price stabilization.
Keywords: agriculture; crop production; digital transformation; food footprint; food availability; consumer basket agriculture; crop production; digital transformation; food footprint; food availability; consumer basket

Share and Cite

MDPI and ACS Style

Logachev, M.; Fomin, V. International Digital System for Collective Food Security Support. Future Internet 2026, 18, 338. https://doi.org/10.3390/fi18070338

AMA Style

Logachev M, Fomin V. International Digital System for Collective Food Security Support. Future Internet. 2026; 18(7):338. https://doi.org/10.3390/fi18070338

Chicago/Turabian Style

Logachev, Maxim, and Vitaliy Fomin. 2026. "International Digital System for Collective Food Security Support" Future Internet 18, no. 7: 338. https://doi.org/10.3390/fi18070338

APA Style

Logachev, M., & Fomin, V. (2026). International Digital System for Collective Food Security Support. Future Internet, 18(7), 338. https://doi.org/10.3390/fi18070338

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop