首页|Researchers from University of Naples Federico II Report Recent Findings in Mach ine Learning (* * Trichoderma* * Biocontrol Performances against Baby-Lettuce Fu sarium Wilt Surveyed by Hyperspectral Imaging-Based Machine Learning and Infrare d ...)

Researchers from University of Naples Federico II Report Recent Findings in Mach ine Learning (* * Trichoderma* * Biocontrol Performances against Baby-Lettuce Fu sarium Wilt Surveyed by Hyperspectral Imaging-Based Machine Learning and Infrare d ...)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ar tificial intelligence. According to news reporting out of Portici, Italy, by New sRx editors, research stated, "* * Fusarium oxysporum* * f. sp. * * lactucae* * is one of the most aggressive baby-lettuce soilborne pathogens." Funders for this research include Italian Ministry For Agriculture, Food Soverei gnty And Forestry. Our news editors obtained a quote from the research from University of Naples Fe derico II: "The application of * * Trichoderma* * spp. as biocontrol agents can minimize fungicide treatments and their effective targeted use can be enhanced b y support of digital technologies. In this work, two * * Trichoderma harzianum* * strains achieved 40-50% inhibition of pathogen radial growth in vitro. Their effectiveness in vivo was surveyed by assessing disease incidence a nd severity and acquiring hyperspectral and thermal features of the canopies bei ng treated. Infected plants showed a reduced light absorption in the green and n ear-red regions over time, reflecting the disease progression. In contrast, * * Trichoderma* * -treated plant reflectance signatures, even in the presence of th e pathogen, converged towards the healthy control values. Seventeen vegetation i ndices were selected to follow disease progression. The thermographic data were informative in the middle-late stages of disease (15 days post-infection) when s ymptoms were already visible."

University of Naples Federico IIPortic iItalyEuropeCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.11)