Privacy and Data Protection in Smart City Agricultural Markets

Abstract

Data protection in smart agricultural markets remains a critical area of inquiry amid escalating digital transformations. This chapter examines the challenges and solutions surrounding privacy in agricultural data ecosystems, with particular attention to encryption, blockchain, and federated learning technologies. It also evaluates global legal, ethical, and regulatory frameworks such as the GDPR and CCPA that influence data governance in digital agriculture. As of 2023, over 75% of large-scale farms in developed nations employ IoT and AI-driven tools for data collection, yet only 38% have robust data protection measures in place, exposing vulnerabilities in ownership, consent, and access control. The integration of privacy-preserving mechanisms such as homomorphic encryption, zero-knowledge proofs, and secure multi-party computation is discussed as a pathway to sustainable data security. The findings emphasize the urgent need for interoperable standards and policy-driven frameworks to protect stakeholders, particularly smallholder farmers, within smart agricultural marketplaces.