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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
- Share this:
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