Research initiative investigating how soil-borne fungal pathogens (Pythium, Rhizoctonia, and Fusarium) limit carbon sequestration in cotton production systems. The study quantifies pathogen population densities and CO2 c...
Aerial imaging and analytics platform that uses unmanned aerial systems to detect crop diseases such as Fusarium wilt, assess severity, and predict yield losses with high accuracy. Validated in cotton with a 0.96 correla...
A seed certification approach using Raman spectroscopy to detect Fusarium oxysporum f. sp. vasinfectum race 4 (FOV4) in pima cotton seeds before planting. The method combines non-invasive Raman scanning with qPCR confirm...