2019
Remote Sensing Technologies for Non-Contact Soybean Phenotyping
Home
Contributor/Checkoff:
Alabama Soybean Producers
Category:
Sustainable Production
Keywords:
Field management Nutrient managementSoil healthTillageYield trials
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Sevgi Gurbuz, Auburn University
Co-Principal Investigators:
Project Code:
Contributing Organization (Checkoff):
Alabama Soybean Producers
$9,000
Institution Funded:
Auburn University
$9,000
Brief Project Summary:

This project intends to develop and exploit the sensing capabilities of radar and lidar to non-invasively contribute to the phenotyping of soybeans. Work aims to characterize the plant health and growth of soybeans by remotely measuring environmental parameters, such as soil moisture; sub-surface properties, such as root biomass, and crop height. New is exploiting radar to conduct non-invasive, sub-surface investigations on the root growth of soybeans. Ground penetrating radar are non-destructive, non-invasive sensors. This project evaluates the performance of ultra-wide band, high bandwidth radar systems to achieve greater resolution, and deeper soil penetration for studying soybean root growth.

Key Benefactors:
farmers, agronomists, Extension agents, soybean breeders

Information And Results
Final Project Results

The United Soybean Research Retention policy will display final reports with the project once completed but working files will be purged after three years. And financial information after seven years. All pertinent information is in the final report or if you want more information, please contact the project lead at your state soybean organization or principal investigator listed on the project.