Principal Investigator: Alina Zare
Sponsor: USDA NIFA
Start Date: January 1, 2021
End Date: December 31, 2023
Amount: $1,197,345
Abstract
In this effort, we will build hyperspectral cameras (which also collect information outside of the visible range collected by standard color cameras) that will be inexpensive, have an automated mechanism to move up and down minirhizotron tubes, and are paired with automated algorithms to process and understand the collected data.
More information:
- https://portal.nifa.usda.gov/web/crisprojectpages/1024671-sits-hyperspectral-signals-in-the-soil.html
- https://news.ece.ufl.edu/2020/11/18/alina-zare-ifas-ai/
- https://www.hortidaily.com/article/9300980/florida-grown-coffee-how-florida-scientists-are-using-ai-to-serve-up-the-possibilities/
- https://www.wcjb.com/2021/03/15/university-of-florida-study-researches-coffee-plant-growth-in-ncfl/
- https://www.thevillagesdailysun.com/news/villages/nontraditional-crops-taking-root-in-state/article_187a2e1c-92a3-11eb-9a4b-ab3749717825.html