In the era of digital agriculture, Precision agriculture (PA) data sources are diverse in terms of the range of technology options and the type of data they generate. Government institutions, scientists, and the private sectors generate much of the PA data at the innovation, validation, and dissemination phases. At scale-up phases, farmers also generate tremendous amounts of data that might have privacy and ownership concerns. There remains the possibility of a better way to integrate PA data continent-wide in Africa. Data privacy and ownership issues must be addressed while still maintaining the integration of PA data at scale. The objective of this paper is to review the major challenges of PA data harmonization in Africa and discuss the existing opportunities in relation to technological advancements in PA data applications to address data sharing without compromising data privacy, ownership, and stewardship. Finally, a new PA data sharing and reward model—‘PrecisioNexion’ is proposed to rationalize data network systems by establishing a robust and self-sustaining business model. The model uses AI and blockchain technology to track and stamp PA data using unique dataset_IDs or PrecisionPrint (like a fingerprint), determining credit amounts using ‘pVouchers’ (like eVouchers) and distributing credits between PA data owners or ‘PrecisionProprietor’, data clients or ‘PrecisionClient’ and funders or ‘PrecisionPatron’. The proposed system provides a foundation for win–win–win PA data sharing and self-sustaining business models for data owners, technology solutions providers and funders, while ensuring a strong partnership between farmers’ cooperatives, private sector, scientists, governments, and financial institutions, and countries.

在数字农业时代，精准农业 (PA) 数据源在技术选择范围和它们生成的数据类型方面是多种多样的。政府机构、科学家和私营部门在创新、验证和传播阶段生成了大部分 PA 数据。在扩大规模阶段，农民还会产生大量可能存在隐私和所有权问题的数据。仍有可能以更好的方式在非洲整合整个大陆的 PA 数据。必须解决数据隐私和所有权问题，同时仍然保持大规模的 PA 数据集成。本文的目的是回顾非洲公共广播数据协调的主要挑战，并讨论与公共广播数据应用技术进步相关的现有机会，以在不损害数据隐私、所有权和管理权的情况下解决数据共享问题。最后，提出了一种新的 PA 数据共享和奖励模型——“PrecisioNexion”，通过建立稳健和自我维持的业务模型来合理化数据网络系统。该模型使用 AI 和区块链技术使用唯一的 dataset_ID 或 PrecisionPrint（如指纹）跟踪和标记 PA 数据，使用“pVouchers”（如 eVouchers）确定信用额度，并在 PA 数据所有者或“PrecisionProprietor”、数据客户或“PrecisionClient”和资助者或“PrecisionPatron”。