Agriculture technology providers' perspectives of data rights and obligations in agriculture reflected by farm data value chain

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.

Authors

Institutions

Publication Details

Journal
Sustainable Futures
Published
2025-03-30
DOI
https://doi.org/10.1016/j.sftr.2025.100585
Citations
6
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
10.50

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Agriculture technology providers' perspectives of data rights and obligations in agriculture reflected by farm data value chain

Mo Wang, Ray Huffaker, Zhuang Yu, Jean Pompeo et al.
6 citations
Sustainable Futures
Smart Agriculture and AI
10.50
article

Agriculture technology providers' perspectives of data rights and obligations in agriculture reflected by farm data value chain

Mo Wang, Ray Huffaker, Zhuang Yu, Jean Pompeo, Yabing Zhao, Ethan Hou
article en
6 citations

Abstract

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.

Sustainable FuturesVol. 9
Florida Museum of Natural History (US), University of Florida (US), Shadyside Hospital (US), San Francisco State University (US)
Institute of Food and Agricultural Sciences, University of Florida
Zero hunger
Openalex Percentile: Top 2%
Smart Agriculture and AI
10.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.