A DIGITAL FINAL SETTLEMENT PLATFORM FOR RAW COTTON:A CONCEPTUAL AGRICULTURAL INFORMATION SYSTEMS FRAMEWORK FOR AUTOMATED RECEPTION AND MONITORING
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Keywords

raw cotton; agricultural information systems; digital settlement platform; automated reception; IoT; blockchain; transparency; Uzbekistan; digital economy.

Abstract

Digital transformation of agricultural value chains increasingly depends on information systems 
that ensure transparency and integrity at settlement stages. Despite the wide adoption of digital tools in 
agricultural production, final settlement processes between producers and processing enterprises often 
remain fragmented, opaque, and weakly integrated with physical data acquisition infrastructure. In the 
context of Uzbekistan's digital economy development agenda — particularly the "Digital Uzbekistan 
2030" strategy — modernising settlement mechanisms in the raw cotton sector represents a critical 
institutional priority. This study proposes a conceptual digital final settlement platform for raw cotton 
procurement, integrating automated crop reception, laboratory quality assessment, transaction 
verification, and analytical monitoring into a unified agricultural information system. The research 
adopts a conceptual information systems approach, combining system analysis, architectural modelling, 
and comparative reasoning between traditional and digitally enabled settlement mechanisms. The 
scientific contribution lies in the development of a four-layer platform architecture connecting IoT-based 
physical measurements with legally binding digital settlements, and in the substantiation of 
permissioned blockchain technology as an information integrity mechanism. The framework provides a 
theoretical foundation for improving settlement transparency, accelerating payment cycles, and 
supporting real-time governance in raw cotton supply chains. The study advances agricultural 
information systems research by conceptualising settlement platforms as cross-organisational digital 
infrastructures.

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