| Affiliations: | Aggie Research Mentoring Program |
| Project Leader: | Navjot Singh navjot.singh@tamu.edu Soil and Crop Sciences |
| Faculty Mentor: | Muthukumar Bagavathiannan, Ph.D. |
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Meeting Times:
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TBA |
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Team Size:
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3
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| Open Spots: | 3 |
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Special Opportunities:
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You will gain foundational knowledge in drone operation, aerial image processing, weed recognition, and the fundamentals of machine learning applications.
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Team Needs:
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Curiosity to learn!
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Description:
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This project aims to detect Italian Ryegrass in wheat fields using the YOLO object detection algorithm. A HYLIO drone equipped with a high resolution camera will capture aerial images. These images will be used to train a detection model. The goal is to enhance the precision of weed management in wheat crops by leveraging machine learning and aerial imaging technologies
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