Intelligent control system of facility sweet cherry integrated water and fertilizer based on deep learning
The integration of water and fertilizer technology is more and more widely used in modern agricultural planting,but the current sweet cherry integration of water and fertilizer technology lacks intelligent control system,real-time fertilization strategy guidance and other problems.Therefore,a sweet cherry water and fertilizer integrated intelligent control system is designed.Firstly,the information extraction of sweet cherry water and fertilizer domain knowledge entities is completed through part-of-speech tagging.Combined with domain knowledge,the classes and attributes of related concepts are defined,and the sweet cherry water and fertilizer ontology model is constructed.A text similarity calculation model based on deep learning in the field of sweet cherry water and fertilizer is introduced.On the basis of the similarity calculation model based on deep learning,the similarity calculation based on the comprehensive attributes of sweet cherry water and fertilizer field,the similarity calculation based on the semantics of sweet cherry ontology,and the similarity calculation of sweet cherry water and fertilizer strategy instance are proposed.The water and fertilizer strategy library of sweet cherry was established by considering the region,fruit tree variety,target yield and fruit tree growth period of sweet cherry water and fertilizer strategy examples.The Drools rule engine combined with similarity calculation based on deep learning was used as the inference engine,and finally the integrated intelligent control system of sweet cherry water and fertilizer was built.
NETL
NSTL
万方数据
