FutureCentral > AI in Agri-Marketing
AI in Agri-Marketing book cover
Agribusiness · MBA / Postgraduate

AI in Agri-Marketing

Austin PM · FutureCentral Press

AI in agricultural marketing.

MBA / PostgraduateConcept in development
Explore the bookRequest title updatesView contents
AudienceMBA / Postgraduate
Structure7 planned topics
StatusConcept in development

About the book

This concept in development examines AI in agricultural input and output marketing. Proposed coverage links customer identity and seasonality with market intelligence, predictive applications, multilingual content, agents, traceability, and trust.

Intended learning outcomes

  • Assess input and output marketing opportunities
  • Connect customer data with seasonal decisions
  • Evaluate generative and agentic marketing workflows
  • Address provenance, trust and governance
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Explore the book

Table of contents

View all 7 planned topics

The concept is in development; a complete chapter list has not yet been finalised.

  1. Foundations of AI-era agricultural marketing
  2. Data infrastructure and identity
  3. Predictive AI in agricultural marketing
  4. Generative and agentic AI in agricultural marketing
  5. Agricultural input marketing
  6. Traceability and trust
  7. Governance, sustainability and the agri-marketer’s career
Student and faculty companions

Teaching and study resources

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