What does “Data as Agriculture’s Currency” mean?

This framework treats agricultural data—from soil conditions to yield data—as a valuable, tradeable commodity. Just as currency enables economic exchange, farm data can be exchanged for value, services, or insights. Joseph Byrum coined this concept in 2017 to help farmers understand and capture the economic value of the information their operations generate.

How can farmers benefit from treating data as currency?

Farmers can leverage their data to negotiate better terms with agribusinesses, access premium services, participate in data cooperatives, and receive compensation when their information contributes to broader research or product development. The framework also helps farmers make more informed decisions about what data to share, with whom, and under what terms.

What types of farm data have economic value?

Valuable agricultural data includes yield maps, soil test results, weather observations, equipment performance metrics, input application records, and phenotyping data. The value increases when data is aggregated across multiple operations, creating insights that benefit the entire agricultural ecosystem.

What role does data governance play in this framework?

Data governance establishes the rules for how agricultural data is collected, stored, shared, and monetized. It protects farmer privacy while enabling beneficial data exchange. Strong governance frameworks address ownership rights, consent mechanisms, security standards, and fair compensation—essential elements for a functioning data economy in agriculture.

How does this concept connect to precision agriculture?

Precision agriculture generates the data that serves as currency in this framework. Technologies like remote sensing, IoT sensors, and GPS-enabled equipment create detailed operational data. Treating this data as currency provides farmers with an economic incentive to adopt precision agriculture technologies and contributes to the analytics infrastructure that benefits the entire industry.

AgFunderNews Series

Data as Agriculture’s New Currency

A pioneering four-part exploration of how farm data has become a valuable commodity—complete with its own economics, exchange mechanisms, and strategic implications for farmers and agribusinesses alike.

4 Articles

•

2017

•

AgFunderNews

Series Overview

This series introduced a framework for understanding farm data as a tradeable asset with real economic value. From establishing the foundational concept of data as currency, through examining farmers’ perspectives on data ownership and privacy, to advancing toward sophisticated data exchange mechanisms—each article builds toward a comprehensive vision of agriculture’s data-driven future.

Key Themes

Data valuation, farmer data rights, privacy concerns, data exchange mechanisms, precision agriculture economics, and the emerging data marketplace in agricultural technology.

Intended Audience

Farmers and farm operators, agricultural technology companies, agribusiness executives, data platform developers, and policymakers working on agricultural data governance.

Publication

Published in AgFunderNews in 2017, during the early emergence of precision agriculture and farm data platforms as transformative forces in agricultural technology.

The Data Value Chain

Understanding how farm data transforms from raw collection to strategic asset.

Stage 1

Collection

Sensors, equipment, and satellites gather raw data from fields, creating the foundation of agricultural intelligence.

Stage 2

Aggregation

Raw data combines with historical records and external sources to create comprehensive datasets with enhanced analytical value.

Stage 3

Analysis

Advanced analytics transform aggregated data into actionable insights and prescriptive recommendations for farm operations.

Stage 4

Exchange

Insights become tradeable assets through data marketplaces, creating new revenue streams and partnership opportunities.

Articles in This Series

Data As Agriculture’s New Currency

Introduces the foundational concept that farm data has become a valuable commodity with its own economics—establishing the framework for understanding data as a tradeable asset with real monetary value in the agricultural ecosystem.

The Farmer’s Perspective

Examines data economics from the farmer’s viewpoint—addressing concerns about data ownership, privacy, competitive advantage, and the trust required for farmers to participate in data-sharing arrangements with technology providers.

Advancing to the Next Level

Explores advanced data exchange mechanisms and the emerging infrastructure for agricultural data marketplaces—examining how the industry can move beyond basic data collection toward sophisticated value creation and exchange.

Putting a Price on Farm Data

Addresses the practical challenge of data valuation—developing frameworks for determining what farm data is actually worth, how to price it fairly, and how to structure transactions that benefit both data producers and consumers.

Core Concepts Explored

Data as Agriculture’s Currency

Framework treating farm data as valuable commodity with exchange mechanisms and economic principles.

Data Governance

Framework managing data assets across organization for quality and compliance.

Analytics Infrastructure

Technical foundation supporting data analysis and AI capabilities.

Remote Sensing

Technology gathering information about crops and fields from distance using sensors.

IoT Sensors

Internet-connected devices providing real-time monitoring of agricultural conditions.

Prescriptive Analytics

Advanced analytics recommending specific actions to achieve desired outcomes.

Precision Phenotyping

Advanced measurement of plant characteristics for improved breeding and selection.

Value Proposition

Unique benefits offered to customers justifying purchase decisions.

Published in AgFunderNews

AgFunderNews is the leading publication covering innovation and investment in food and agriculture technology. It provides news, analysis, and insights for investors, entrepreneurs, and industry leaders working to transform global food systems through technology.

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Explore More Educational Series

This is one of five article series covering artificial intelligence, complexity economics, innovation strategy, and agricultural technology.

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About Joseph Byrum

Joseph Byrum is an accomplished executive leader, innovator, and cross-domain strategist with a proven track record of success across multiple industries. With a diverse background spanning biotech, finance, and data science, he has earned over 50 patents that have collectively generated more than US $1 billion in revenue.

Data as Agriculture’s New Currency

A pioneering four-part exploration of how farm data has become a valuable commodity—complete with its own economics, exchange mechanisms, and strategic implications for farmers and agribusinesses alike.

Course Code: DANC

Level: Intermediate

Duration: PT1H

Credits: 4

Prerequisites

Data valuation, farmer data rights, privacy concerns, data exchange mechanisms, precision agriculture economics, and the emerging data marketplace in agricultural technology.

Course Curriculum

#	Lesson	Description
1	Data As Agriculture's New Currency
2	The Farmer's Perspective: Data as Agriculture's New Currency Part 2
3	Advancing to the Next Level: Data as Agriculture's New Currency Part 3
4	Putting a Price on Farm Data

Topics Covered

Concept	Type	Description	Source
Data as Agriculture's New Currency	coined	Framework treating farm data as valuable commodity with exchange mechanisms and economic principles	Putting a Price on Farm Data, Advancing to the Next Level: Data as Agriculture's New Currency Part 3, The Farmer's Perspective: Data as Agriculture's New Currency Part 2
Data Governance	usedExtensively	Framework managing data assets across organization for quality and compliance	From Plows to Processors: Creative Destruction Across the Ages, Putting a Price on Farm Data, Advancing to the Next Level: Data as Agriculture's New Currency Part 3
Analytics Infrastructure	usedExtensively	Technical foundation supporting data analysis and AI capabilities	Piercing the Veil: How Linguistic AI Analysis is Decoding Ambiguity in Corporate Disclosures, Agriculture Analytics: Solutions Reflect Farmland's True Value, Agriculture: Fertile Ground for Analytics and Innovation
Remote Sensing	usedExtensively	Technology gathering information about crops and fields from distance using sensors	The Information Paradox: Finding Meaning in the Age of Digital Abundance, What Can Fungus Teach Us About Making Money?, Ethical Guidelines For Smart Automation: Understanding Smart Technology Part 9
IoT Sensors	usedExtensively	Internet-connected devices providing real-time monitoring of agricultural conditions
Prescriptive Analytics	usedExtensively	Advanced analytics recommending specific actions to achieve desired outcomes	Agriculture Analytics: Solutions Reflect Farmland's True Value, Agriculture: Fertile Ground for Analytics and Innovation, Improving Analytics Capabilities Through Crowdsourcing
Precision Phenotyping	usedExtensively	Advanced measurement of plant characteristics for improved breeding and selection	How Remote Sensing Powers Precision Agriculture, Pathways to Precision: Managing Risk With Germplasm, Role of Precision Ag in Getting Nitrogen Right For a Better Environment
Value Proposition	usedExtensively	Unique benefits offered to customers justifying purchase decisions	Artificial Intelligence: The Values That Should Guide the AI Revolution, Agriculture Analytics: Solutions Reflect Farmland's True Value

Course FAQ

Question	Answer	Source
What does “Data as Agriculture’s Currency” mean?	This framework treats agricultural data—from soil conditions to yield data—as a valuable, tradeable commodity. Just as currency enables economic exchange, farm data can be exchanged for value, services, or insights. Joseph Byrum coined this concept in 2017 to help farmers understand and capture the economic value of the information their operations generate.
How can farmers benefit from treating data as currency?	Farmers can leverage their data to negotiate better terms with agribusinesses, access premium services, participate in data cooperatives, and receive compensation when their information contributes to broader research or product development. The framework also helps farmers make more informed decisions about what data to share, with whom, and under what terms.
What types of farm data have economic value?	Valuable agricultural data includes yield maps, soil test results, weather observations, equipment performance metrics, input application records, and phenotyping data. The value increases when data is aggregated across multiple operations, creating insights that benefit the entire agricultural ecosystem.
What role does data governance play in this framework?	Data governance establishes the rules for how agricultural data is collected, stored, shared, and monetized. It protects farmer privacy while enabling beneficial data exchange. Strong governance frameworks address ownership rights, consent mechanisms, security standards, and fair compensation—essential elements for a functioning data economy in agriculture.
How does this concept connect to precision agriculture?	Precision agriculture generates the data that serves as currency in this framework. Technologies like remote sensing, IoT sensors, and GPS-enabled equipment create detailed operational data. Treating this data as currency provides farmers with an economic incentive to adopt precision agriculture technologies and contributes to the analytics infrastructure that benefits the entire industry.

Joseph Byrum: Media Gallery

Photo of Joseph Byrum, an accomplished executive leader with contributions of over $1 billion proven revenue impact, verified by awards such as the Franz Edelman Prize, ANA Genius Award, and the Decision Analysis Practice Award.