The invention provides a multi-variety fusion
grafting control method for Chinese rose flowers, a
server, a medium and a product, and relates to the technical field of Chinese rose fusion control application. The method comprises the following steps: firstly, acquiring a plurality of candidate
grafting schemes, collecting
rootstock monitoring data and to-be-scion Chinese rose
plant information in combination with the schemes, inputting the
rootstock monitoring data and the to-be-scion Chinese rose
plant information into a growth
feature matching prediction model formed by
deep learning training according to historical
grafting records, scion variety features, grafting results and expert experience, and performing scion grafting. Calculating the growth characteristic matching degree of the to-be-scion and the
rootstock, and screening out candidate to-be-scion
plant information according to the growth characteristic matching degree; combining the rootstock data and the candidate information to obtain a growth condition
score through a fusion growth prediction model, and selecting a scheme with the highest
score as an optimal scheme; and finally generating guidance data and sending the guidance data to a user side. By implementing the method, the Chinese rose growth characteristic matching degree can be accurately determined, so that the combination with high matching degree is screened out, the grafting success rate is greatly improved, and grafting failures caused by compatibility problems are reduced.