The invention discloses a
plant growth key element multi-
modal database creation method, a growth
state prediction method and a
monitoring system, and relates to the technical field of
agricultural information. The method comprises the following steps: collecting multi-
modal data in a
plant growth process, and preprocessing the multi-
modal data; a
deep learning model is adopted to extract preprocessed data features, and then
time alignment is carried out on all data; determining a
database table structure according to a multi-
modal data acquisition requirement; the
database table structure comprises a feature storage field, an index field and a
hyperlink identifier, and the
hyperlink identifier is used for establishing a
hyperlink relationship between each piece of data and
modal data except a modal to which each piece of data belongs; and according to the database table structure, establishing a storage container for each
modal data, storing the data, and obtaining the multi-modal database of the
plant growth key elements. The multi-dimensional features of the
plant growth key elements can be effectively extracted and analyzed, multi-modal data are fused, and efficient storage and management of large-scale
plant growth data are achieved.