survey

Empowering Agrifood System with Artificial Intelligence: A Survey of the Progress, Challenges and Opportunities

Authors:

Di Wang, Jing Zhang,

Liangpei Zhang,

Dacheng TaoAuthors Info & Claims

ACM Computing Surveys, Volume 57, Issue 2

Article No.: 49, Pages 1 - 37

https://doi.org/10.1145/3698589

Published: 07 November 2024 Publication History

Abstract

With the world population rapidly increasing, transforming our agrifood systems to be more productive, efficient, safe, and sustainable is crucial to mitigate potential food shortages. Recently, artificial intelligence (AI) techniques such as deep learning (DL) have demonstrated their strong abilities in various areas, including language, vision, remote sensing (RS), and agrifood systems applications. However, the overall impact of AI on agrifood systems remains unclear. In this article, we thoroughly review how AI techniques can transform agrifood systems and contribute to the modern agrifood industry. First, we summarize the data acquisition methods in agrifood systems, including acquisition, storage, and processing techniques. Second, we present a progress review of AI methods in agrifood systems, specifically in agriculture, animal husbandry, and fishery, covering topics such as agrifood classification, growth monitoring, yield prediction, and quality assessment. Furthermore, we highlight potential challenges and promising research opportunities for transforming modern agrifood systems with AI. We hope this survey can offer an overall picture to newcomers in the field and serve as a starting point for their further research. The project website is https://github.com/Frenkie14/Agrifood-Survey.

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Cited By

Lv LChen TLiu GDou JPlaza A(2025)A Comparative Study of Model Interpretability Considering the Decision Differentiation of Landslide Susceptibility ModelsIEEE Transactions on Geoscience and Remote Sensing10.1109/TGRS.2024.352216563(1-18)Online publication date: 2025
https://doi.org/10.1109/TGRS.2024.3522165

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Empowering Agrifood System with Artificial Intelligence: A Survey of the Progress, Challenges and Opportunities

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Published In

cover image ACM Computing Surveys

ACM Computing Surveys Volume 57, Issue 2

February 2025

974 pages

EISSN:1557-7341

DOI:10.1145/3696822

Editors:
David Atienza
Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland
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Michela Milano
University of Bologna, Italy

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Publication History

Published: 07 November 2024

Online AM: 07 October 2024

Accepted: 25 September 2024

Revised: 20 September 2024

Received: 25 April 2023

Published in CSUR Volume 57, Issue 2

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Lv LChen TLiu GDou JPlaza A(2025)A Comparative Study of Model Interpretability Considering the Decision Differentiation of Landslide Susceptibility ModelsIEEE Transactions on Geoscience and Remote Sensing10.1109/TGRS.2024.352216563(1-18)Online publication date: 2025
https://doi.org/10.1109/TGRS.2024.3522165

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