Scientific Paper · source-verified

Technology at the Table: Incorporating AI into Contemporary Food Industry Operations

Priyanka Kataria · 2024-07-03

AI enhances food and agriculture by optimizing supply chains, improving quality, and ensuring safety, but its adoption faces challenges related to data privacy, automation-driven job displacement, and ethical concerns in sustainability and regulation compliance.

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Priyanka Kataria. 2024-07-03. Technology at the Table: Incorporating AI into Contemporary Food Industry Operations. https://www.cabidigitallibrary.org/doi/10.1079/foodsciencecases.2024.0003 (AI & Environment Resource Hub; record paper-068; collection snapshot 2026-09-15).

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Available source metadata

Author or creator
Priyanka Kataria
Publisher
CABI Digital Library
Publication date
2024-07-03
Date precision
day
Geographic scope
Unknown
Language
unknown
Peer review
unknown
Source status
verified
Last verified
2026-09-15T16:58:06Z
Snapshot import
2026-09-06
Legacy domain
Agriculture & Food
Legacy subdomain
Using AI for Food Industry Operations
journal
CABI Digital Library

Provenance and review

Source sheet: Scientific Paper · Row 72 · Original ID: paper-068.

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A paper listing is not a quality assessment. Peer review and findings require source-level confirmation. Source link reachable · checked 2026-09-15. Source identity and required metadata verified. The import date is not the original date added.

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Related through shared environmental topics

Ordered by the number of shared provisional topic labels. This indicates a browsing connection, not agreement between sources.

Shared topics: Cross-cutting sustainability; Governance and society; Agriculture and food

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Introduces BoreaRL, a multi-objective reinforcement learning environment for climate-adaptive boreal forest management. Boreal forests store 30-40% of terrestrial carbon, much in climate-vulnerable permafrost soils. The authors show carbon sequestration goals are easier to optimize than permafrost preservation, and that effective policies must balance species composition and density to protect permafrost while maintaining carbon gains.

arXiv

Shared topics: Cross-cutting sustainability; Governance and society; Agriculture and food

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Doug Burger, sustainability expert Amy Luers, and optimization researcher Ishai Menache examine the global emissions implications of datacenter operations, efficiency gains, and AI's potential across electrification, materials, and food systems.

youtube.com

Shared topics: Cross-cutting sustainability; Governance and society; Agriculture and food

Policy Document · 2024-11-15

Digital Transformation Accelerator

CGIAR's design document for digital transformation of food, land, and water systems, including data infrastructure, inclusive AI applications, and governance.

CGIAR

Shared topics: Cross-cutting sustainability; Governance and society; Agriculture and food

Tool

EarthMap

Earth Map is an innovative, free and open-source tool developed by the Food and Agriculture Organization of the United Nations (FAO) in the framework of the FAO - Google partnership. It was created to support countries, research institutes, farmers and members of the general public with internet access to monitor their land in an easy, integrated and multi-temporal manner. It allows everyone to visualize, process and analyze satellite imagery and global datasets on climate, vegetation, fires, biodiversity, geo-social and other topics. Users need no prior knowledge of remote sensing or Geographical Information Systems (GIS).

Food and Agriculture Organization of the United Nations (FAO)free