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AI for Turfgrass Research This podcast examines the potential of using consumer-grade cameras and open-source software to conduct plant phenotyping research. The sources describe a research project where a custom-built lightbox and a consumer camera were used to capture images of turfgrass in a greenhouse over an 8-week period. The images were then analysed to measure plant cover, colour, and other traits. These measurements were compared to data gathered using active spectral reflectance and traditional assessment methods, such as NDVI and visual quality assessments. This podcast explores the possibilities, as well as the challenges, of this approach for plant phenotyping. Disclaimer: 98% of the audio in this podcast is generated using NotebookLM, an AI-driven tool by Google, and this podcast is designed for educational purposes only. Please double-check the provided information before making any decisions Any questions or ideas? Drop us an email to [email protected] Install Petiole Pro: https://play.google.com/store/apps/details... Find more about Petiole: https://petiolepro.com Get calibrating plate: https://petiole.ai Our Linkedin: https://www.linkedin.com/company/petiole Our Researchgate: https://www.researchgate.net/lab/Petiole-P... Our Instagram: https://www.instagram.com/petiolepro/ Our Facebook: https://facebook.com/petiole.co Our Twitter: https://twitter.com/petioleapp Our TikTok: https://tiktok.com/@petiolepro #petiolepro #aiinagriculture #turfgrass