The invention relates to the technical field of tomato
disease control, in particular to a method for detecting tomato
root rot based on volatilization group information. The method comprises the four steps of volatile gas collection,
data analysis, intelligent diagnosis and result display, and
cloud database and model updating is assisted. The method comprises the following steps: firstly, obtaining tomato root volatile compounds through high-sensitivity sampling equipment, and analyzing volatile components by utilizing a GC-IMS technology to obtain lt; component, concentration gt; the method comprises the following steps: extracting data, generating a
feature vector, combining generation and
verification of an auditing identifier to ensure the compliance and integrity of the extracted data, accurately judging a
disease grade based on a classification model, combining a
health score and a
classification result, providing prevention and treatment suggestions, and presenting a diagnosis result in a visual mode; and the
cloud database continuously accumulates historical data, optimizes the classification model, and improves the
system adaptability and the detection effect. According to the invention, early-stage accurate diagnosis and
intelligent management of tomato
root rot are realized, and the agricultural
disease detection efficiency is improved.