• AI-Powered Gene-Based Crop Modelling: Advancements and Future Directions

    Author(s):
    S.M. SIAD (see profile)
    Date:
    2023
    Subject(s):
    Artificial intelligence, Crops, Modeling, Agronomy, Plant breeding
    Item Type:
    Article
    Tag(s):
    adaptation, Agronomy, AI, breeding, Computer Simulation, crop, gene-based
    Permanent URL:
    https://doi.org/10.17613/k0f9-te33
    Abstract:
    Gene-based crop modelling is a rapidly evolving field that uses genetic data to improve crop breeding and management. The recent integration of artificial intelligence (AI) in gene-based crop modeling has enabled researchers to analyze large amounts of genetic data and identify patterns that are difficult for humans to detect. In this article review, we explore the current state of AI-powered gene-based crop modeling and its applications in crop breeding and management. We also discuss the challenges and limitations of this approach, as well as future directions for the field. Overall, the use of AI in gene-based crop modeling has the potential to revolutionize the way we approach crop breeding and management, leading to more efficient and sustainable agricultural practices.
    Metadata:
    xml
    Status:
    Published
    Last Updated:
    8 months ago
    License:
    Attribution
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