Smart agricultural insect disease remote automatic diagnosis system

Abstract

The invention relates to a smart agricultural insect disease remote automatic diagnosis system. The system comprises an interaction system, an identification system and an insect disease database management system. The interaction system comprises an information acquisition system, a wireless communication system and an information display system; the identification system comprises a similarity comparison system and a remarkable feature extraction system; and the inset disease database management system comprises an insect disease picture database, an insect disease remarkable feature database and an insect disease diagnosis database. The smart agricultural insect disease remote automatic diagnosis system, based on images of crop growth conditions, through intersection operation of the image similarity and remarkable feature extraction comparison system and a machine learning algorithm of the identification system, can effectively improve the identification accuracy of an insect disease type. According to the insect disease type, the system provides an omni-directional diagnosis scheme so as to improve the survival rate and the quality of crops.

Description

technical field [0001] The invention relates to a remote automatic diagnosis system for intelligent agricultural diseases and insect pests, which belongs to the technical field of agricultural informatization and online service of agricultural technology. Background technique [0002] Since the planting of different crops is affected by many factors, such as region, season, soil condition, climate, etc., the work of plant protection becomes very complicated and cumbersome. There are insufficient technical personnel in plant protection stations in various places. When crop diseases and insect pests occur, they are often too busy to take care of them. Diagnosis stays at individual points and cannot cover the entire area. The technical services provided by plant protection stations are far from meeting the growing demands of farmers for planting technology, and some sudden and contagious pest and disease treatment measures are often not communicated to farmers in time. Farmers...

AI Technical Summary

Problems solved by technology

[0007] 1. There are many farmers and few experts, so one-to-one service cannot be provided. The existing expert service is not timely, and questions are often not answered;

[0008] 2. When the number of users is large enough and there are enough agricultural technical problems, the online services provided by experts become scarce and cannot meet the needs of users;

[0009] 3. The solution to grass-roots crop diseases and insect pests relies on experience and lacks systematic solutions;

[0010] 4. The auxiliary functions of computer programs are insufficient, and visual analysis, big data search and comparison, and machine learning have not been applied to the field of agricultural pest diagnosis

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