Advances in Artificial Intelligence (AI) for plant digital genomics: approaches, breakthroughs, and methodologies

Title: Advances in Artificial Intelligence (AI) for plant digital genomics: approaches, breakthroughs, and methodologies

Abstract:

Plant digital genomics is a rapidly growing field that aims to study plant biology through high-throughput techniques such as transcriptomics, genomics, and proteomics. Artificial intelligence (AI) algorithms have emerged as powerful tools to analyze the large datasets generated by these techniques, leading to new insights into plant biology and potential applications in crop breeding and genetic engineering. This presentation reviews recent advances in the application of AI algorithms in plant digital genomics and discusses the challenges and opportunities for further research

Audience Take Away Notes :

• Understanding the integration of AI algorithms in plant digital genomics 
• Insight into recent advances in plant digital genomics 
• Identification of challenges and opportunities for further research 
• Familiarity with AI-driven tools and resources in plant digital genomics 
• Awareness of ethical considerations and challenges in plant digital genomics

Biography:

Dr. Mohamed ZARID studied Food Technology at the FST-BM, Morocco and graduated as MS. He then joined the research group of Prof. Juan Pablo Fernández Trujillo at the Univesrsidad Politécnica de Cartagena (UPCT), Spain. He received his PhD degree in 2020 at the same institution. After two years postdoctoral fellowship supervised by Dr Bénédicte QUILOT-TURION at the INRAE-Avignon, France he obtained the position of Teaching and Research Staff at the UPCT. He has published more than 13 research articles in SCI(E) journals.