Deep-learning-based main control board for crop disease monitoring

A technology of deep learning and main control board, applied in the direction of neural learning method, program control, computer control, etc., can solve the problems of inconvenient erection of lines and inconvenient observation of crops, etc., and achieve the effect of cost reduction

Inactive Publication Date: 2018-11-23
JINAN INSPUR HIGH TECH TECH DEV CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional crop data monitoring has great limitations, especially in some situations where it is inconvenient to erect lines due to on-site environmental factors, which brings great inconvenience to crop observation

Method used

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  • Deep-learning-based main control board for crop disease monitoring
  • Deep-learning-based main control board for crop disease monitoring
  • Deep-learning-based main control board for crop disease monitoring

Examples

Experimental program
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Embodiment 1

[0029] A main control board for crop disease monitoring based on deep learning, including a mainboard MCU, a CMOS camera, an NB-IOT module and a power management module; the mainboard MCU controls the NB-IOT module through AT commands;

[0030] The power management module described is a low-dropout linear voltage regulator, the specific model is LT3645, and the maximum output current is 500mA, which can meet the power supply requirements of the main control board.

[0031] The motherboard MCU is STM32F401RCT6 with Cortex-M4 core, with 84 MHz main frequency, 256 KbFlash, 64 K SRAM, and I²C interface.

[0032] The CMOS camera adopts the ov7740 module. The camera is an IIC device. Its sccb interface is connected to the i2c interface of STM32, so as to realize the MCU’s camera control operation. The data is connected to the MCU through the parallel interface. The pin correspondence is as attached figure 1 shown;

[0033] The invention proposes a main control board for crop diseas...

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Abstract

The invention discloses a deep-learning-based main control board for crop disease monitoring. The deep-learning-based main control board comprises a main board MCU, a CMOS camera module and an NB-IOTmodule; an I2C interface of the main board MCU is connected with an SCCB interface of the CMOS camera module; and the main board MCU is connected with the NB-IOT module via UART. Compared with the prior art, the deep-learning-based main control board has characteristics of low cost, good monitoring effect and large-scale market promotion.

Description

technical field [0001] The invention relates to the technical field of crop monitoring, in particular to a main control board for crop disease monitoring based on deep learning. Background technique [0002] Nowadays, with the continuous improvement of my country's scientific and technological level, the application of agricultural automation is becoming more and more extensive. Many farms have realized an unattended automated management system, realizing fully automatic control from irrigation, fertilization, ventilation and alarm. The crop monitoring system needs to be able to estimate the growth environment of various crops more accurately, and can also track and monitor the growth of various crops in different growth periods, so as to take effective measures in a timely manner as needed to monitor the growth of crops and ensure the output of the year steady growth. Traditional crop data monitoring has great limitations, especially in some situations where it is inconven...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06N3/08G06N3/04G05B19/042H04L29/08G08B21/24
CPCH04L67/12G05B19/042G06N3/08G06T7/0002G08B21/24G06T2207/30188G06N3/045
Inventor 马辰于治楼于玲
Owner JINAN INSPUR HIGH TECH TECH DEV CO LTD
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