Disease and pest monitoring system and monitoring method based on Internet of things

Abstract

The invention discloses a system for monitoring pests and diseases based on the Internet of Things and a monitoring method thereof, wherein the system for monitoring pests and diseases based on the Internet of Things includes a central server and at least one insecticidal device; the insecticidal device includes an insecticidal lamp, a wireless signal transceiver module, Storage module, image processing module, image acquisition module and microprocessor; wireless signal transceiver module, insecticidal lamp, image processing module, storage module and image acquisition module are all connected with microprocessor, insecticidal lamp, image processing module, image The acquisition module and the microprocessor are connected with the power supply module; the image processing module is connected with the image acquisition module; the central server includes an information acquisition module, a search module, a data processing module and a wireless transceiver module; the search module, the wireless transceiver module and the information acquisition module are all Connect with the data processing module.

Description

technical field [0001] The invention relates to the field of agricultural pest control, in particular to an Internet of Things-based pest monitoring system and monitoring method thereof. Background technique [0002] Digital agriculture and precision operations are the direction and requirements of modern agricultural development. In terms of crop disease and insect pest analysis, digital agriculture requires fast and accurate acquisition of information on plant damage by plant diseases and insect pests, so as to guide the fine management of plant growth. [0003] Internationally, Japan has developed a variety of early warning systems for plant diseases and insect pests in the field of technology-intensive facility gardening at the end of the 20th century, which not only saves manpower and material resources, but also greatly improves the effect of disease and insect pest control; The system, using the combination of image processing technology and expert system technology,...

AI Technical Summary

Problems solved by technology

[0004] Because many disease and pest spots are relatively similar, distinguishing disease and pest spots in a complex background is the main difficulty of the current crop disease and pest early warning system. As a result, the current advanced greenhouse computer monitoring and early warning system still relies on imported technology, and the core technology is still mastered abroad.

Images