
C. D. Cruz
@cruzepidemiolab
Helping tackle major challenges in crop biosecurity, epidemiology, AI, disease detection and quantification, and more.
ID: 1114179812271239168
https://ag.purdue.edu/btny/cdcruzlab/ 05-04-2019 14:55:42
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Honored to have been invited as a distinguished speaker at the regional exchange on innovation and plant health surveillance with the ALER4TA Project. Thanks to GIZ Ecuador, ICA Colombia, Sede Bogotá - Universidad Nacional de Colombia and Joaquin Guillermo Ramirez Gil. #DataDrivenAg





Thank you, Paul Esker, for visiting us at Purdue! We appreciate the insightful seminar and your engagement with our faculty, students, and visiting scholars. Your time and perspectives are truly valued!



Productive meeting with collaborators, finalizing details for our upcoming international expedition on corn tar spot. Looking forward to advancing our research and tackling this challenge together! 🌽 Purdue BPP



Carlos Góngora-Canul et al. conducted epidemiological studies to better understand #wheat blast spatial and temporal patterns in three field environments in Bolivia between 2019 and 2020. 🌾 Learn more: doi.org/10.1094/PHYTO-… Alexandria Volkening C. D. Cruz Mariela Fernandez 🇨🇷



🚀 Excited to share our latest open-access publication! We present a deep learning approach using RGB imaging and a stromata contour detection algorithm to improve leaf-level analysis of corn tar spot severity. 📄 Read the full study: apsjournals.apsnet.org/doi/epdf/10.10… Plant Disease



Thanks to the North Central IPM Center for the kind invitation and opportunity to contribute! Feel free to check out the webinar here: youtube.com/watch?v=OYjGxi…


The January Central Issue includes info about: -Tar spot detection and modeling -How monarch "threatened" status affects landowners (webinar) -Bird flu in Michigan -Northern giant hornet status update ncipmc.org/january-2025-c… Iowa State Plant Protection @LauraJesseIles Iowa State Yard and Garden


In this study, Da-Young Lee et al. present the Stromata Contour Detection Algorithm version 2 (SCDA v2), which achieves higher and more consistent accuracy in tar spot stromata detection than previously developed SCDA v1. C. D. Cruz Learn more: doi.org/10.1094/PDIS-1…



