A5068616353- Genetic Mapping and Diversity in Plants and Animals
- Smart Agriculture and AI
- Genetics and Plant Breeding
- Crop Yield and Soil Fertility
- Wheat and Barley Genetics and Pathology
- Traffic Prediction and Management Techniques
- Genetic and phenotypic traits in livestock
- Air Quality Monitoring and Forecasting
- Functional Brain Connectivity Studies
- Scientific Computing and Data Management
- Vehicle emissions and performance
- Privacy-Preserving Technologies in Data
- Gene expression and cancer classification
- Business Process Modeling and Analysis
- Forest Biomass Utilization and Management
- Data Mining Algorithms and Applications
- Plant nutrient uptake and metabolism
- Distributed and Parallel Computing Systems
- Epilepsy research and treatment
- Greenhouse Technology and Climate Control
- EEG and Brain-Computer Interfaces
- Spectroscopy and Chemometric Analyses
National Engineering Research Center for Information Technology in Agriculture
2013-2025
Ministry of Agriculture and Rural Affairs
2023
Anhui University
2022-2023
Yield prediction is the primary goal of genomic selection (GS)-assisted crop breeding. Because yield a complex quantitative trait, making predictions from genotypic data challenging. Transfer learning can produce an effective model for target task by leveraging knowledge different, but related, source domain and considered great potential method improving integrating multi-trait data. However, it has not previously been applied to genotype-to-phenotype owing lack efficient implementation...
The phenotype (P) of a crop is determined by the genotype (G), environment (E), and genotype-by-environment (G × E) interaction, expressed as P = G + E E. Thus, studying interactions essential for phenotypic research. Traditional methods phenotypes adaptability based on interaction analysis, large ecological regions, fail to account year-to-year environmental changes blurring region boundaries, leading inaccurate insights into relationship between genotypes factors. To address these issues,...
Many important plants’ agronomic traits, such as crop yield, stress tolerance, and other are controlled by multiple genes exhibit complex inheritance patterns. Traditional breeding methods often encounter difficulties in dealing with these traits due to their complexity. However, genomic selection (GS), which utilizes high-density molecular markers across the entire genome facilitate programs, excels capturing genetic variation associated traits. This enables more accurate efficient...
Variety testing is an indispensable and essential step in the process of creating new improved varieties from breeding to adoption. The performance can be compared evaluated based on multi-trait data multi-location variety tests multiple years. Although high-throughput phenotypic platforms have been used for observing some specific traits, manual phenotyping still widely used. efficient management large amounts a significant problem crop testing. This study reports test platform (VTP) that...
With the continuous growth of global population, insufficient food production has become an urgent problem to be solved in most countries. At present, using artificial intelligence technology improve suitability between land and crop varieties increase yields a consensus among agricultural researchers. However, there are still many problems existing works, such as limited phenotypic data poor performance models. In this regard, we take maize example collect large amount environmental climate...
Magnetoencephalography is a noninvasive neuromagnetic technology to record epileptic activities for the pre-operative localization of epileptogenic zones, which has received increasing attention in diagnosis and surgery epilepsy. As reported by recent studies, pathological high frequency oscillations (HFOs), when utilized as biomarker localize result significant reduction seizure frequency, even elimination around 80% cases. Thus, objective, rapid, automatic detection recommendation HFOs are...
Workflow management system is playing more and significant role in business process (BPM) office automation (OA) of enterprises [ . It can improve the efficiency manageability an daily teamwork, control as well coordinate processes Traditionally, it not easy for workflow modeling method to describe complex clearly intuitively. In this paper we improved based model, proposed a on multi-role playing. possible make easier simpler when come problems. Finally, example B/S Enterprise Financial...