Article

Machine learning for major food crops breeding: Applications, challenges, and ways forward

2024-01-01

Abstract excerpt

Increasing the production of the three major food crops (MFCs), maize (Zea mays), rice (Oryza sativa), and wheat (Triticum aestivum), is essential to fulfilling the food demand for the growing human population. Increasing food production may require the integration of machine learning (ML) into plant breeding programs. However, developing ML tools to improve the production of MFCs is a daunting task due to the lac...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 401d9aee-9d6e-5156-8ff8-81ed8c3da60f
DOI: 10.1002/agj2.21393

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Machine learning for major food crops breeding: Applications, challenges, and ways forwardDOI 10.1002/agj2.21393Read

Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data.Semantic proximity Read

On to the Next Chapter for Crop Breeding: Convergence with Data ScienceSemantic proximity Read

On to the next chapter for crop breeding: Convergence with data scienceSemantic proximity Read

Pangenomics and machine learning for crop improvementSemantic proximity Read

LightGBM: accelerated genomically designed crop breeding through ensemble learning.Semantic proximity Read

ResDeepGS: A deep learning-based method for crop phenotype prediction.Semantic proximity Read

Machine learning applications to improve flavor and nutritional content of horticultural crops through breeding and genetics.Semantic proximity Read

Transformation of Plant Breeding Using Data Analytics and Information Technology: Innovations, Applications, and Prospective Directions.Semantic proximity Read

Cropformer: An interpretable deep learning framework for crop genomic prediction.Semantic proximity Read

Machine learning bridges omics sciences and plant breeding.Semantic proximity Read

Fast-forward breeding for a food-secure world.Semantic proximity Read

Application of deep learning in crop research: From genomics to phenomics.Semantic proximity Read