AI-powered high-throughput phenotyping of seed yield in Urochloa: a deep learning approach

Citation

Arrechea Castillo, D.A.; Espitia Buitrago, P.; Arboleda, R.D.; Florian Vargas, D.; Jauregui, R.N.; Cardoso, J.A. (2024) AI-powered high-throughput phenotyping of seed yield in Urochloa: a deep learning approach. Poster prepared for the 8th International Plant Phenotyping Symposium. Nebraska (USA), 7-11 October 2024. 1 p.

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Darwin Alexis Arrechea-Castillo  
Paula Espitia-Buitrago  
Rosa Noemi Jauregui  
Juan Andrés Cardoso Arango  

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SDG 1 - No povertySDG 2 - Zero hungerSDG 8 - Decent work and economic growthSDG 10 - Reduce inequalitiesSDG 12 - Responsible production and consumptionSDG 13 - Climate actionSDG 15 - Life on landSDG 17 - Partnerships for the goals

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