Movable imaging type disease-pest recognition system and device

Abstract

The invention discloses a movable imaging type disease-pest recognition system and device. The system comprises an LED background collection device, a remote image collection device, a solar photovoltaic power supply device, a cloud server and a client recognition system, wherein the LED background collection device, the remote image collection device and the client recognition system are in bidirectional signal connection with the cloud server, and the LED background collection device and the remote image collection device are connected with the solar photovoltaic power supply device. A moth-killing lamp in the system is adjustable, so that the system is suitable for the planting scenes of multiple crops and convenient for user analysis and centralized management; and meanwhile, by utilizing software comparison recognition, the recognition speed is high, and the precision is high.

Description

technical field [0001] The invention belongs to the technical field of attracting pests outdoors, and in particular relates to a mobile imaging pest identification system and device. Background technique [0002] At present, most of the identification of crop diseases and insect pests is manual identification, which has a long time limit, tedious work, and a large amount of tasks; intelligent identification is gradually appearing in the agricultural field, but due to insufficient technology, the identification accuracy and speed cannot meet the needs of the industry; and currently The best technology is to use solar insecticidal lamps to kill pests first, and then identify them by taking photos. Compared with live insect identification, this method has very low accuracy. In addition, identifying insect pests through background comparison will take up a lot of data resources and time. Contents of the invention [0003] The purpose of the present invention is to provide a mo...

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Problems solved by technology

[0002] At present, most of the identification of crop diseases and insect pests is manual identification, which has a long time limit, tedious work, and a large amount of tasks; intelligent identification is gradually appearing in the agricultural field, but due to insufficient technology, the identification accuracy and speed cannot meet the needs of the industry; and currently The best technology is to use solar insecticidal lamps to kill the pests first, and identify them by taking pictures. Compared with the identification of live insects, the accuracy of this method is very low. In addition, identifying insect pests through background comparison will take up a lot of data resources and time.

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