Artificial intelligence in vegetable crops: recent advances and prospects

Vegetables play a critical role in the agricultural economy, food security, and ecological sustainability. The acceleration of productivity enhancement in high-quality vegetable industries should align with the development of the new era. Notably, artificial intelligence (AI) technology demonstrates significant potential in vegetable industry applications. This paper provides a comprehensive analysis of emerging AI-driven innovations in vegetable crop research, exploring their key applications in phenotypic data acquisition, genomics, intelligent production, and high-quality variety breeding. Additionally, reasonable suggestions are provided for data collection and model construction. In summary, by integrating cutting-edge progress and prospective analysis, this review provides a practical technical path for the construction of accurate and sustainable vegetable production systems driven by AI technology.

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Publication Details

Journal
Vegetable Research
Published
2025-01-01
DOI
https://doi.org/10.48130/vegres-0025-0012
Citations
1
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
1.75
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article

Artificial intelligence in vegetable crops: recent advances and prospects

C. S. Gong, Weiping Diao
1 citations
Vegetable Research
Smart Agriculture and AI
1.75
article

Artificial intelligence in vegetable crops: recent advances and prospects

C. S. Gong, Weiping Diao
article en
1 citations

Abstract

Vegetables play a critical role in the agricultural economy, food security, and ecological sustainability. The acceleration of productivity enhancement in high-quality vegetable industries should align with the development of the new era. Notably, artificial intelligence (AI) technology demonstrates significant potential in vegetable industry applications. This paper provides a comprehensive analysis of emerging AI-driven innovations in vegetable crop research, exploring their key applications in phenotypic data acquisition, genomics, intelligent production, and high-quality variety breeding. Additionally, reasonable suggestions are provided for data collection and model construction. In summary, by integrating cutting-edge progress and prospective analysis, this review provides a practical technical path for the construction of accurate and sustainable vegetable production systems driven by AI technology.

Vegetable ResearchVol. 5(1)
Jiangsu Academy of Agricultural Sciences (CN)
Zero hunger
Openalex Percentile: Top 15%
Smart Agriculture and AI
1.75
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