SUSTAINABLE Platform: Seamless Smart Farming Integration Towards Agronomy Automation
Agorakis Bompotas, Konstantinos Koutras, Nikitas Rigas Kalogeropoulos, Panagiotis Kechagias, Dimitra Gariza, Athanasios P. Kalogeras, Christos Alexakos
TL;DR
The paper presents SUSTAINABLE, a platform that fuses IoT, satellite analytics, and BPMN-based workflow orchestration to support sustainable viticulture in the Mediterranean. It details a three-subsystem architecture (Agricultural Processes Designer, Execution Engine, User Dashboard) implemented with the BPMN 2.0 standard and Camunda, enabling end-to-end design, execution, and monitoring of farm activities and data exchange via REST/JSON. A pilot in Orphanos Estate demonstrates real-time decision support, role-based task management, and satellite-driven indices such as $NDVI$, $NDMI$, and $OSAVI$ for field evaluation, including automated drone sensing and predictive triggers. The work highlights interoperability benefits and outlines future enhancements in API middleware, advanced analytics, and UX-driven longitudinal studies to scale to broader crops and stakeholders.
Abstract
The global agricultural sector is undergoing a transformative shift, driven by increasing food demands, climate variability and the need for sustainable practices. SUSTAINABLE is a smart farming platform designed to integrate IoT, AI, satellite imaging, and role-based task orchestration to enable efficient, traceable, and sustainable agriculture with a pilot usecase in viticulture. This paper explores current smart agriculture solutions, presents a comparative evaluation, and introduces SUSTAINABLE's key features, including satellite index integration, real-time environmental data, and role-aware task management tailored to Mediterranean vineyards.