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FACT: Research Experience for Undergraduates on Phenomics Big Data Management

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an IBP member program

Academic Level:
For most summer research programs, this is your upcoming status as of the fall. Always check with the individual program's website for details.

Undergraduates - First Year
Undergraduates - Sophomore
Undergraduates - Junior
Undergraduates - Senior

Note: this opportunity encourages applications from community college students.

Crop phenomics is a new transdisciplinary field of research that is a critical interface between plant biology, engineering, and data sciences. Phenomics data refers to sensory data acquired from high-throughput sensing/automation equipment that are associated with crop phenotypes/traits. Crop phenotyping is a complex process as the plant phenotype results from interactions between the genetic framework, dynamically changing environment, and complex plant physiology. In recent years, phenomics technologies have challenged traditional crop phenotyping approaches, especially for efforts towards crop improvement. The strong motivation for this project comes from the need to develop unique interdisciplinary skillset and promote genuine interest among undergraduate students in this field of research for phenomics data-driven discoveries for impact on global food security.

In this project, our diverse team of eight faculty mentors, actively pursuing research in topics associated with phenomics big data management research such as development of automated sensing/image processing tools, phenomics data-based visualization, and phenomics data-based variety development will provide educational and outreach benefits to traditional and underrepresented undergraduate students by providing an immersive research experience for about 9 weeks. The six major objectives defined in this project are to: (1) create a cohort-wide program offering transdisciplinary educational opportunities, (2) develop technical and research expertise, (3) develop professional and communication skills, and encourage graduate education, (4) promote networking and socialization, (5) promote diversity and broaden participation, and (6) proactively engage in project evaluation.

Application Deadline: 3/25/2024

Participating Institution(s):
(Click an institution to see all programs it hosts)
Washington State University (Lead)

Program Materials:
 • Program Website 

This Program can be Described by:
Academic Disciplines:
Agricultural Engineering
Applied Mathematics
Artificial Intelligence
Bioinformatics & Genomics
Computer & Electrical Engineering
Crop & Soil Sciences
Genetics & Genomics
Sensor Science & Engineering
Spatial/Geographic Information Systems

Artificial Intelligence
Data Science
Engineering Research
Optical Systems
Plant Genetics
Sensor Applications
Sensor Networks

Learn More and Apply!

This program is funded by:
U.S. Dept. of Agriculture (USDA)

Page last updated 4/25/2023
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