What question did this study set out to answer?

The aim is to evaluate the evolution and applications of AI in agricultural biotechnology to enhance farming efficiency and food security.

Artificial intelligence-driven advancements in agricultural biotechnology

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This comprehensive review demonstrates the impact of AI on agricultural biotechnology, addressing global food security challenges.

The aim is to evaluate the evolution and applications of AI in agricultural biotechnology to enhance farming efficiency and food security.
Conducted a comprehensive literature search using PubMed, Web of Science, Embase, Scopus, Lens, and the Cochrane Library.
Critically reviewed advancements in AI systems and their applications in crop improvement and precision agriculture.
Assessed ethical challenges and the commercial growth of AI in agriculture.
AI applications in crop improvement and precision agriculture demonstrate significant potential in enhancing agricultural productivity.
Identified challenges include data sovereignty and the digital divide, which impede equitable access to AI in agriculture.
Projected future developments in AI, including the role of quantum computing in transforming agricultural practices.

Hossen et al. (2026) studied this question.

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