BIBFRAME Work

Title

AI innovations for transforming food production

Type

• Text
• Monograph

Contribution

• Elngar, Ahmed A. (editor )
• Whig, Pawan, 1980- (editor )

Subject

• Precision farming (LCSH)
• Agricultural innovations (LCSH)
• Artificial intelligence--Agricultural applications (LCSH)

Language

• eng

Classification

• LCC: S494.5.D3 (Assigner: dlc) (Status: uba)
• NAL: S494.5.D3 A4 2025 (Assigner: dnal) (Status: uba)
• DDC: 338.10285 (Assigner: dlc)

Content

• text

Supplementary content

• index
• bibliography

Summary

"The objective of this book is to explore how artificial intelligence can drive transformative changes in food production, focusing on the potential of AI to address key challenges in agriculture and contribute to a more sustainable, efficient, and resilient global food system"-- Provided by publisher.

Table of Contents

AI-based soil quality monitoring and improvement techniques predicting and mitigating soil erosion and degradation -- Challenges and opportunities for tech entrepreneurs in agriculture -- Precision agriculture AI in crop monitoring, soil analysis, and nutrient management: satellite imaging and drone technology for precision farming -- Critical analysis of technological advancements and intellectual property in agriculture: balancing innovation and farmers' rights -- Harnessing artificial intelligence for sustainable food production

Authorized Access Point

AI innovations for transforming food production

Admin Metadata

• Date: 2026-09-11T20:11:24.710506+00:00
• Agent: cbc
• Status: c
• Derived from: 24051647

Admin Metadata

• Date: 2026-09-11
• Cataloger id: Unknown
• Description level: bibframe-2-6-0
• Description language: eng
• Description authentication: pcc