This multi-project research grant focuses on diverse domains, spanning from oil palm genomics and insecticide development to high-yield peptide analysis and automation through AI. Additionally, it delves into high-performance computing, analytics platforms, quantum computing, and blockchain to enhance oil palm yield prediction, addressing various environmental and agricultural factors.
Publications
40 +
Researchers
43
Grant
RM 1.87 m
Duration
3 Years
Exploring the frontier of agricultural science, our Omics section delves into innovative strategies, from oil palm peptidomics for biomarker identification to advanced genomics-assisted breeding. Here, we unite AI-powered analytics with omics insights, revolutionizing insecticide development and optimizing crop resilience for the future of sustainable farming.
More information
In the realm of precision agriculture, our Analytic capabilities merge machine learning with vital data streams from agronomy, crop protection, and geoinformatics, transforming these insights into accurate oil palm yield predictions. This synergy lays the groundwork for enhanced, sustainable agricultural practices.
More informationThe platform offers cutting-edge oil palm data analytics, ensuring high performance and reliability. It utilizes quantum infrastructure for optimization and deep learning, enhancing computational efficiency. Additionally, it integrates blockchain technology for secure data analytics and adheres to FAIR principles, promoting findable, accessible, interoperable, and reusable data discovery and computing.
More information
Through the Malaysian Research University Network – Long-Term Research Grant Scheme (MRUN-LRGS), Malaysian universities collaborate with FGV R&D Sdn. Bhd. to apply cutting-edge big data analytics techniques to enhance oil palm and palm oil yields.
