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TensorFlow-based pest damage time/frequency domain multi-scale identification system and operation method

A technology for identifying systems and pests, which is applied in the field of time-frequency domain multi-scale identification systems for pests and diseases, and can solve problems such as the unfavorable popularization of intelligence and the inability to flexibly realize the identification of pests and diseases

Active Publication Date: 2019-08-02
NORTH CHINA UNIV OF WATER RESOURCES & ELECTRIC POWER
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, after the existing images and data are acquired, most of them are only manually judged, which is greatly affected by subjective factors, and cannot flexibly realize the identification of diseases and insect pests in different farmlands, and is not conducive to the popularization of agricultural intelligence

Method used

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  • TensorFlow-based pest damage time/frequency domain multi-scale identification system and operation method
  • TensorFlow-based pest damage time/frequency domain multi-scale identification system and operation method
  • TensorFlow-based pest damage time/frequency domain multi-scale identification system and operation method

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Embodiment Construction

[0071] The present invention will be further described in detail below in conjunction with specific embodiments:

[0072] figure 1 It is a flow chart of the time-frequency domain multi-scale identification system and method of pests and diseases based on TensorFlow (a symbolic mathematical system based on data flow programming) of the present invention. The system is first initialized to measure the soil temperature and humidity and crop image information at the current measurement point n; then the gradient solution process of the temperature field of the farmland soil, the gradient solution process of the moisture field of the farmland soil, the first crop image segmentation process, and the crop The first image enlargement process, the second crop image segmentation process, the second crop image enlargement process, the crop image time domain transformation process, the crop image frequency domain transformation process; finally the temperature and humidity gradient field and...

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Abstract

The invention particularly discloses a TensorFlow-based pest damage time / frequency domain multi-scale identification system and an operation method. The system comprises hardware platforms of an OV7725 camera sub-node acquisition unit, a LoRa transmission sub-node transmission unit, a soil entropy sensor sub-node acquisition unit, a stm32 node processing unit and the like based on the Internet ofThings technology. Acquired images and farmland information are transmitted to a monitoring center; a data statistical analysis method based on TensorFlow is carried out at a monitoring center, crop images and farmland information are analyzed and judged, and accurate pest damage identification judgment is obtained.

Description

Technical field [0001] The invention belongs to the field of agricultural pest identification, and specifically relates to a pest time-frequency domain multi-scale identification system and operation method based on TensorFlow (a symbolic mathematical system based on data flow programming). Background technique [0002] The monitoring of farmland crop diseases and insect pests is an important step to realize agricultural informatization, and then realize agricultural intelligence. The whole work process is designed with numerous steps and methods. In recent years, crop diseases and insect pests seem to be more and more serious, and various diseases are constantly intersecting. On the one hand, pesticides are used indiscriminately in types and amounts, and crop pests are gradually becoming resistant; on the other hand, the prices of agricultural products have been falling, farmers are eager to increase their incomes, and the use of chemical fertilizers has increased year by year, ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08G06T3/40G06T7/11
CPCG06T7/11G06T3/40G06N3/08G06V20/10G06V10/56G06N3/045G06F18/241
Inventor 刘明堂李亚萍袁胜夏振伟陈健郑海颖秦泽宁吴思琪陆桂明孟庆云吴勤毕莹莹
Owner NORTH CHINA UNIV OF WATER RESOURCES & ELECTRIC POWER