Application Review of Deep Belief Networks in the Field of Agriculture Information
China is a great agricultural country,with the rapid development of agricultural informatization and modernization,the field of agricultural information is more inclined to data mining and analysis.Deep Belief Network(DBN)is a deep neural network model formed by stacking multiple Restricted Boltzmann Machines(RBM).It can automatically extract data features in the agricultural information field,and has the advantages of simple operation and low requirements for computer hardware.It has been widely used in data analysis in the agricultural information field,especially performed well in disease and weed detection,crop yield prediction,soil properties and weather prediction,livestock production and management,providing a new direction for data processing and analysis in the field of agricultural information.On the basis of expounding the development of DBN in the field of agricultural information,this paper introduced the important applications of DBN,analyzed the advantages and disadvantages of DBN in the field of agricultural information,and finally forecasted the application prospects of DBN in the field of agricultural information.
Deep Belief Networks(DBN)agricultural informationdeep learningmachine learning technology
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