AI-Driven Sustainable AgriTech Data, Prediction, and Automation
Keywords:
AgriTech, Artificial Intelligence, Big Data Analytics, Decision Support, Predictive Modeling, Smart Agriculture, Workflow Automation.Abstract
Digital technologies create new opportunities for solving paramount societal challenges. Within the agriculture and food production area, the digital transformation is driven by the concept of Sustainable Agriculture 4.0, a paradigm shift towards resource-efficient and demand-driven production supported by Sustainable Development Goals. A key supporting technology is Artificial Intelligence, which seeks greater autonomy by simulating human-like cognitive functions. However, AI currently excels at narrow tasks and requires a great amount of clean training data. Predictive models and modeling frameworks, particularly, can comprehensively leverage existing knowledge and experience to predict outcomes, assess risks, and ultimately support decision-making. These AI services can assist, empower, or control stakeholders in management tasks. Sustainable progress therefore requires a higher-level decision support capability, encompassing Big Data Analytics to process past evidence and feeding Predictive Modeling for future scenarios.
Research design is based on the Smart AgriTech Platform developed at the University of São Paulo. It embraces Sustainable Agriculture 4.0 by adapting the digital transformation and digital twinning frameworks for the AgriTech domain. The design integrates capabilities for Data Processing and Mining, Predictive Modeling, and Automation of Decision Workflows. Insights from Big Data Analytics on crop management data and climate conditions contribute to a better understanding of annual cropping systems, underpinning more precise Risk Assessment and Resilience Planning. Agribusiness decision workflows are formally modeled and choreographed in a Decision Operation System. Produce forecasted models (e.g., crop yield, price) become readily available for external consumption through a Decision Model and Notation engine, enabling value-addition in AgriTech products and services.
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