Plant Phynotyping
Phenotyping of crops is essential to determine crop damage due to storms, or to determine the stress of the plant due to diseases or lack of fertilization / water.
This work is a collaboration between the ARoS Lab, Dr. Michael Daniele (Associate Professor at NCSU) and Dr. Alper Bozkurt (Professor at NCSU). This work is funded by the United States Department of Agriculture (USDA) – National Institute of Food and Agriculture under Grant number 1015796.
In the News
- January 18, 2021 – OpenCV Blog – Smarter, More Precise Weed Management with PhenoCV-WeedCam
- November 12, 2019 -NCSU News – $10M Grant to NC State, USDA-ARS to Advance Cover Crops, Transform Agriculture
Resources
- NCSU-AROS Platforms for Data Collection GitHub [Released: February 2021] – Design schematics and source code for platforms for this project. Please cite [2] under Publications.
Publications
- P. Ramos-Giraldo, C. Reberg-Horton, S. Mirsky, E. Lobaton, A. Lock, E. Henriquez, A. Zuniga, A. Minin, “Low-Cost Camera to Detect Water Stress in Crops with Embedded Machine Learning,” IEEE Sensors 2020.
- R. da Silva, N. Starliper, D.K. Bhosale, M. Taggart, R. Ranganath, T. Sarje, M. Daniele, A. Bozkurt, T. Rufty and E. Lobaton, “Feasibility Study of Water Stress Detection in Plants using a High-Throughput Low-Cost System,” IEEE Sensors, 2020.