The invention discloses a sugarcane
germplasm resource evaluation and breeding method for smart
agriculture. The sugarcane
germplasm resource evaluation and breeding method comprises the following steps: step 1, collecting materials with wide
genetic diversity; establishing an intelligent
incubator and a
greenhouse, and monitoring environmental parameters by using an
Internet of Things sensor; 2, performing
data acquisition on the related
germplasm resources by using an unmanned aerial vehicle, a
robot and a near
infrared spectrum technology, and constructing a
phenotype database for
data management; meanwhile,
genotype identification is carried out by combining
molecular marker-assisted selection and
genome selection technologies, molecular markers of
key genes are mined, and the genetic value of related germplasm is evaluated; step 3, constructing a
hybrid combination prediction model by using an AI
algorithm, optimizing parent matching of the related germplasm and the cultivated sugarcane, monitoring and collecting the filial generation at the same time, and analyzing and screening in combination with smart
agriculture; 4, demonstration planting is conducted on the bred excellent sugarcane strain, and application of the excellent strain is improved through government-enterprise-scientific research institution collaborative popularization and in combination with farmer
technical training.