Agriculture technology providers' perspectives of data rights and obligations in agriculture reflected by farm data value chain
Bibliographic Data
| ID | 6455337 |
|---|---|
| Authors | Zhuang Yu (0000-0003-1676-135X), Ethan Hou, Jean Pompeo, Ray Huffaker (0000-0003-3434-3709), Mo Wang (0000-0001-7004-3549), Yabing Zhao |
| Year | 2025 |
| Volume | 9 |
| Pages | 100585-100585 |
| Publication date | 2025-03-30 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Futures (JOURNAL) |
| Journal identifiers | ISSN: 2666-1888 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.sftr.2025.100585 |
| OpenAlex | W4408975545 |
| Language | EN |
| References cited | 22 |
This research paper delves deeply into the landscape of data rights in agriculture, investigating perspectives held by Agriculture Technology Providers (ATPs). The study examines the influences surrounding data ownership and control, presenting a spectrum of ATPs’ views, from advocating for open-source data to asserting ownership rights. Through an examination of various business structures (Internal/insourcing, Collaborative, and Outsourcing) and their implications for data rights and obligations, the paper uncovers the complexities in designing fair data rights agreements between farmers and ATPs, and among ATPs. Additionally, mechanisms for quantifying benefits, safeguarding rights, and auditing activities are proposed to foster a sustainable and mutually beneficial partnership between the two parties. The research also investigates the influence of company size on data rights, noting that smaller companies, despite their flexibility, often lack awareness of data rights issues compared to larger counterparts. With these findings, the paper advocates for clearer legislation, active participation of farmers in contract negotiations, and the establishment of markets for digital commodities like data and data-derived products (e.g., carbon credits) to effectively navigate the domain of data rights in agriculture
Agricultural economics · Agricultural science · Agriculture · Business · Economics · Geography · Statistics · Value (mathematics · Energy and Environmental Systems · Environmental Science · Mathematics · Smart Agriculture and AI · Technology and Data Analysis
APA handbook of research methods in psychology, Vol 2
Own Data? Ethical Reflections on Data Ownership
Digital agriculture to design sustainable agricultural systems
Managing Socio-Ethical Challenges in the Development of Smart Farming
Farming futures
The Sociology of Quantification
The future of data ownership
| Citation velocity | historical |
|---|---|
| Highly cited | No |