Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on artificial intelligence. According to news reportingfrom the University of La Rioja by NewsRx journalists, research stated, “Nowadays, diseases are one of themajor threats to sustainable viticulture.”Our news editors obtained a quote from the research from University of La Rioja: “Manual detectionthrough visual surveys, usually done by agronomists, relies on symptom identification and requires anenormous amount of time. Detection in field conditions remains difficult due to the lack of infrastructure toperform detailed and rapid field scouting covering the whole vineyard. In general, symptoms of grapevinediseases can be seen as spots and patterns on leaves. In this sense, computer vision technologies andartificial intelligence (AI) provide an excellent alternative to improve the current disease detection andquantification techniques using images of leaves and canopy. These novel methods can minimize the timespent on symptom detection, which helps in the control and quantification of the disease severity. In thisarticle, we present some results of deep learning-based approaches used for detecting automatically leaveswith downy mildew symptoms from RGB images acquired under laboratory and field conditions.”
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