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Spring 2024: Use of proximal and remote sensing for crop stress detection and assessment

Affiliations: STEM Research Leadership
Project Leader: Ubaldo Torres

ubaldotorres@tamu.edu

Soil and Crop Sciences

Faculty Mentor: Muthukumar Bagavathiannan, Ph.D.
Meeting Times:
TBA
Team Size:
5
Open Spots: 0
Special Opportunities:
You will learn how to design and implement greenhouse and field research trials. Learn how to operate drones, use various sensors, and analyze data. Opportunity exist for earning co-authorship on a publication.
Team Needs:
Experience in python programming, GIS, and machine/deep learning is preferred. Basic agricultural knowledge will be helpful but not required. Ability to work independently and with a team.
Description:
This project explores the growth and development of cotton plants treated with herbicides in greenhouse and field environments. Using various sensors and platforms, we will collect detailed data on crop injury. This data will be analyzed using deep learning models, image analysis and traditional agricultural research practices. The aim is to integrate agriculture with technology to enhance crop management, promote sustainability, and encourage environmentally friendly practices.

Written by:
América Soto-Arzat
Published on:
December 21, 2023

Categories: FullTags: Spring 2024

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