Red date disease and pest prediction system based on Internet of Things

Abstract

The invention relates to the field of agriculture, the invention particularly relates to a red date disease and pest prediction system based on the Internet of Things. The system comprises an image acquisition module and a disease and pest prediction APP which realizes wireless communication with the image acquisition module and is internally loaded in a mobile terminal. The image acquisition module is used for acquiring an image of a to-be-detected red date tree at a fixed point through the unmanned aerial vehicle and sending acquired image data to the disease and pest prediction APP in realtime through the wireless communication module; and the disease and pest prediction APP is used for realizing planning of an image acquisition track and an image acquisition coordinate point of the unmanned aerial vehicle, realizing identification of disease and pest information carried in the detected red date tree image, and outputting a corresponding red date disease and pest prediction reportbased on an identification result. According to the invention, automatic identification, statistical analysis and prediction of red date tree diseases and pests are realized.

Description

technical field [0001] The invention relates to the field of agriculture, in particular to a system for predicting diseases and insect pests of jujube based on the Internet of Things. Background technique [0002] Jujube has the functions of invigorating qi, nourishing blood, invigorating the spleen and stomach, so it is very popular in daily life. The taste, yield and quality of jujube are closely related. Therefore, if farmers plant jujube orchards, if they cause diseases and insect pests due to careless management, it will directly affect the quality and yield of jujube. Therefore, in order to improve the yield and quality of jujube, necessary pest control measures are essential. . [0003] At present, the monitoring of jujube diseases and insect pests still stays in the way of checking at fixed points manually, which is time-consuming and laborious, and the accuracy is also poor. Contents of the invention [0004] The object of the present invention is to provide a ...

AI Technical Summary

Problems solved by technology

[0003] At present, the monitoring of jujube diseases and insect pests still stays in the way of checking at fixed points manually, which is time-consuming and laborious, and the accuracy is also poor.

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