Intelligent identification system for vegetable pest control

Abstract

The invention discloses an intelligent identification system for vegetable pest control, which relates to the field of intelligent pest detection and comprises a user terminal, a cloud server and an expert platform, and is characterized in that the user terminal uploads vegetable crop images to the cloud server, and the cloud server determines vegetable categories corresponding to the vegetable crop images; the vegetable crop image is input into an intelligent pest identification model corresponding to the vegetable category to obtain a corresponding identification result, and a pest type identification result is obtained in combination with an identification result fed back by the expert platform; and a disease and pest diagnosis result according to the disease and pest type identification result and a pre-stored treatment measure corresponding to the disease and pest type identification result and are subjected to feeding back to the user terminal. The system provides a disease and insect pest identification function based on an artificial intelligence technology, so that farmers can accurately identify existing disease and insect pest types and take appropriate treatment measures for treatment, the identification rate is high and stable, and the system is very important for preventing and controlling vegetable disease and insect pests.

Description

technical field [0001] The invention relates to the field of intelligent detection of pests and diseases, in particular to an intelligent identification system for the prevention and control of vegetable pests and diseases. Background technique [0002] Vegetables are often harmed by various harmful organisms (phytopathogens, pests, etc.) from sowing, growing to harvesting. Crop diseases and insect pests are one of the main agricultural disasters in our country. It has the characteristics of various types, great impact, and frequent outbreaks. The scope and severity of its occurrence and severity often cause heavy losses to our national economy, especially agricultural production. There are many kinds of harmful organisms with different forms, different occurrence rules, and frequent outbreaks. It has caused great losses to our national economy, especially agricultural production. Therefore, it is extremely important to correctly identify plant diseases and insect pests an...

AI Technical Summary

Problems solved by technology

[0003] At present, once pests and diseases occur, practitioners often rely on traditional experience to make rough judgments, and then use pesticides and agricultural materials that are easily obtained locally to implement some post-event prevention and control measures. However, practitioners have limited awareness of pests and diseases, which is affected by subjective factors and personal experience. It is often impossible to correctly identify the types of pests and diseases, and if only a few plant protection technicians or insect researchers are used to complete the process through manual inspection and naked eye observation, the identification efficiency is low and the identification rate is extremely unstable.

At the same time, due to limited plant protection scientific and technical personnel, coupled with remote locations and inconvenient transportation in some areas, many pests and diseases cannot be identified on the spot in time, so they have to be identified based on the descriptions of growers. Many growers have limited professional knowledge and cannot provide accurate descriptions, which often leads to Misjudgment will cause great damage to the quality and output of agricultural production

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