-
architecture trait identification. The overall objectives of the project include: Deep understanding of plant water relations to extreme environmental stresses. Hands-on experience in measuring leaf gas exchange
-
) - spanning open-source models, LLM architecture, prompt design, and agentic AI frameworks - to help evaluate and advance responsible AI integration across the Agency. Project 3: Pilot and Proof-of-Concept
-
towards the development of improved rootstocks for pear production. Research Project: The overall goal of this research project is to characterize root system architecture and root developmental traits
-
for key stored-product pest species using long-read sequencing and advanced annotation methods, enabling comparative genomic analyses to determine how variation in gene content and genome architecture
-
within the digital twin environment Developing deep learning architectures for time-series forecasting, anomaly detection, and predictive maintenance of the physical asset Designing and training Physics