Digital Agriculture Sandbox for Collaborative Research
Year: 2025
Type: conference-paper
Abstract: Digital agriculture is transforming the way we grow food by utilizing technology to make farming more efficient, sustainable, and productive. This modern approach to agriculture generates a wealth of valuable data that could help address global food challenges, but farmers are hesitant to share it due to privacy concerns. This limits the extent to which researchers can learn from this data to inform improvements in farming. This paper presents the Digital Agriculture Sandbox, a secure online platform that solves this problem. The platform enables farmers and researchers to collaborate on analyzing farm data without exposing private information. We employ specialized computer techniques, including federated learning, differential privacy, and data analysis methods, to safeguard the data while maintaining its utility for research purposes. The system works by allowing people to learn from the data and build helpful tools without the sensitive information ever leaving the farmer's computer. This creates a safe space where farmers feel comfortable sharing data, allowing researchers to make important discoveries. Our platform helps bridge the gap between maintaining farm data privacy and utilizing that data to address critical food and farming challenges worldwide.
Authors: Zafar, Osama, Santa Gonzalez, Rosemarie, Morales, Alfonso, Ayday, Erman
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Zero hunger
Open Access status: green
OpenAlex ID: W7095044871
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