Machine Learning for AI Breeding in Plantsdoi:10.1093/gpbjnl/qzae051Cheng QianWang XiangfengGenomics, Proteomics & Bioinformatics
Machine learningCrop breedingGENETIC ARCHITECTURESELECTIONTRAITSCLASSIFICATIONWith the improvement of high-throughput technologies in recent years, large multi-... C Wu,J Luo,Y Xiao - 《Molecular Breeding》 被引量: 0发表: 2024年 Seed-per-pod estimation for plant breeding using deep learning Commercial...
exploring the synergy between genome editing and machine learning in crop breeding, and discussion of the prospects and challenges in crop improvement.
The Key Role of Machine Learning in Integrating Sustainable Energy into Smart Grids and the Corresponding Approaches to Asset Protection in Intellectual Property LawArticle Open access Published: 30 August 2021 Volume 52, pages 989–1019, (2021) Cite this article Download...
Specifically, the human eye can get tired after long hours of scoring plants for various traits, which can produce large intra-rater variability in rating scores, thus resulting in diminished accuracy and reproducibility. In a breeding program, hundreds or thousands of plots are rated in a short...
et al. Application of machine learning and deep learning for predicting groundwater levels in the West Coast Aquifer System, South Africa. Earth Science Informatics, 2025, 18(1): 6. DOI:10.1007/s12145-024-01623-w 3. Du, J., Chen, Y., Cao, J. PF-BiCGAN: An Abnormal Values ...
Increasingly, a data-driven perspective is warranted where machine learning (ML) has become an essential tool for automatic extraction of useful information to support decision-making in farm management as well as risk management. ML’s role in farm risk management (FRM) has recently increased ...
plants are important goals of breeding programs’ improvement but also for fundamental knowledge generation about pathology, genetics, and overall biology. Implementing unoccupied aerial systems (UAS, also referred to as drones) into plant breeding and genetics programs permits quantification of complex ...
Rising weather volatility poses a growing challenge to crop yields in many global breadbaskets. However, empirical evidence regarding the effects of extrem
In the detection of drought stress in soil bacterial microbiota, this study emphasizes the potential of an optimized and generalized location-based ML classifier. By identifying marker taxa, this approach holds promising implications for microbe-assisted plant breeding programs and contributes to the deve...