Disease and insect pest detection system based on SAE-SVM

A detection system and technology for pests and diseases, applied in the field of pest and disease detection systems based on SAE-SVM, can solve problems such as inaccurate detection of pests and diseases, errors, unfavorable agricultural production automation, efficient management, etc., to reduce economic losses and achieve good reliability. , the effect of easy handling

Inactive Publication Date: 2016-08-17
ANHUI UNIVERSITY
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Problems solved by technology

This method is not accurate enough for the detection of pests and diseases, and there are error

Method used

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  • Disease and insect pest detection system based on SAE-SVM
  • Disease and insect pest detection system based on SAE-SVM

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Embodiment

[0023] Such as figure 1 , a pest detection system based on SAE-SVM, including an image acquisition device installed between the ridges of the planting area and a big data server platform installed indoors, the information obtained is displayed on the LED dot matrix display and uploaded to the cloud network; the image The acquisition device is connected to the big data server platform through a wireless network; the image acquisition device is installed on a rack that can move along the guide rail, and the image acquisition device includes a movable camera, image preprocessing module, RAM external memory, power system; image preprocessing The module is connected to the RAM external memory through the internal data bus; the power system includes solar panels and batteries, so that the detection system avoids power failure; the image preprocessing module is connected to the power system through the power interface; the big data server platform includes a feature vector extraction ...

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Abstract

The invention provides a disease and insect pest detection system based on SAE-SVM, and relates to the technical field of modern agriculture. The system comprises image acquisition devices which are arranged between the ridges of a planting region and a big data server platform which is installed in the indoor. The obtained information is displayed on an LED dot matrix display screen and uploaded to a cloud network. The image acquisition devices are connected with the big data server platform through a wireless network. Image features are extracted by utilizing stacked auto-encoding SAE to form feature vectors. Then the feature vectors of each leaf image are trained by a support vector machine SVM method so that a classifier is formed after training. Then a large number of plant leaf images are detected by the classifier so as to detect disease and insect pests of plant leaves. Detection and recognition of the disease and insect pests can be realized, and the situation can be discovered in the early stage of the disease and insect pests so that timely processing is facilitated, economic loss can be reduced, accuracy is high and reliability is great.

Description

technical field [0001] The invention relates to the technical field of modern agriculture, in particular to a SAE-SVM-based pest detection system. Background technique [0002] The occurrence and damage of pests and diseases in agricultural production are very frequent and serious, which has brought huge economic losses to people; at present, the detection methods of pests and diseases usually use the method of combining field investigation and forecasting to make pesticide application decisions and comprehensive pests and diseases. However, field surveys, forecasts and forecasts all rely on manual detection, that is, using artificial senses to inspect pests and diseases on the spot, using tools such as magnifying glasses, microscopes, or directly using the naked eye to identify the types of pests and diseases, and to count the numbers. This method requires inspectors with high qualifications Good quality and familiarity with the business can achieve better results, which le...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/60
CPCG06V10/20G06F18/2411
Inventor 许先璠杜晓婷
Owner ANHUI UNIVERSITY
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