An intelligent monitoring system for hazardous agricultural inputs based on dbn-softmax

Abstract

The invention discloses a dangerous agricultural input intelligent monitoring system based on DBN-SOFTMAX. The dangerous agricultural input intelligent monitoring system comprises a monitoring centerand a LORA gateway, wherein a cloud server, an intelligent equipment module, a DBN-SOFTMAX network and a database are arranged in the monitoring center, an input prediction module and a SOFTMAX classifier are arranged in the DBN-SOFTMAX network, a plurality of LoRa nodes are connected with one side of the LORA gateway, the other side of the LORA gateway is connected with the cloud server and the database through a data receiving service end, one side of the cloud server is connected with the input prediction module, one side of the input prediction module is connected with one side of the intelligent equipment module, and the database is connected with the SOFTMAX classifier. The dangerous agricultural input intelligent monitoring system based on DBN-SOFTMAX can monitor agricultural inputsof a planting base in real time.

Description

technical field [0001] The invention relates to an intelligent monitoring system for agricultural inputs, in particular to a DBN-SOFTMAX-based intelligent monitoring system for dangerous agricultural inputs, belonging to the technical field of agricultural input monitoring applications. Background technique [0002] The agricultural product quality and safety traceability system is an important means to solve food safety problems. The information on dangerous agricultural inputs such as pesticides and fertilizers is one of the most concerned issues for consumers in the traceability information. At present, many scholars at home and abroad have quickly tested agricultural inputs. technology research. [0003] At present, most of the monitoring of agricultural inputs is post-production residue detection, and it is not possible to detect pesticides, fertilizers and other inputs in real time online; the traceability system can trace the use of agricultural inputs in the producti...

AI Technical Summary

Problems solved by technology

[0003] At present, most of the monitoring of agricultural inputs is post-production residue detection, and it is not possible to detect pesticides, fertilizers and other inputs in real time online; the traceability system can trace the use of agricultural inputs in the production process of agricultural products by querying traceability information, but due to traceability The information is mainly entered manually, and the timeliness and accuracy of the traceability information cannot be guaranteed

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