Patent ID: 11864552
Assignee: ZHEJIANG UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC A  G | IPC A  G

Claim 5:
6. The digital detection method for predicting drug resistance of transgenic maize of claim 1, wherein a construction process of the parallel model comprises:
determining a training sample, wherein the training sample is a data set with temporal continuity; the data set comprises a plurality of data subsets with temporal continuity; the data subset comprises a chlorophyll relative content, a pixel ratio, a plant height, a crown layer diameter, a stem thickness, a stem height, a first leaf length, a first leaf width, a second leaf length, a second leaf width, a third leaf length and a third leaf width at a certain time;
constructing a parallel network structure, wherein the parallel network structure is composed of the convolutional neural network and the long-short term memory network connected in parallel; and
successively inputting the data subsets of the training sample into the parallel network structure to train the parallel network structure to obtain a trained parallel network structure; wherein the trained parallel network structure is the parallel model; an output of the parallel model is the variety of the maize plant; and the variety of the maize plant comprises a transgenic maize variety and a non-transgenic maize variety.