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Farming automation system using crop image big data

机译:利用作物图像大数据的农业自动化系统

摘要

The present invention relates to a farming automation system using big data of crop images. The farming automation system using big data of crop images comprises: farming automation equipment including a growth sensing module to transmit temperature, humidity, sunshine, and weather sensor data, and a camera module to photograph and transmit an image of a crop; a smart farming automation server including a data collection module to continuously collect and store various sensor data and crop images outputted by the farming automation equipment, and an artificial intelligence module to compare data collected in the data collection module and an embedded crop growth database to form and store big data by an artificial intelligence method; and an integrated control module which is included in the smart farming automation server, drives the artificial intelligence module to output a growth management control signal when an image of a crop is collected by the data collection module, and produces comprehensive control information from collected sensor data to transmit the comprehensive control information to a worker computer or a smartphone. When an image of a crop is photographed and transmitted while driving the farming automation equipment, an algorithm of the artificial intelligence module is driven to optimize and derive temperature, humidity, carbon dioxide, ground temperature, soil water, sunshine, pest control, fertilizer application, crop water supply amount, oxygen supply amount, and sunshine for each crop growth stage to automatically manage a crop growth environment and update big data by a learning algorithm of the artificial intelligence module.
机译:本发明涉及一种使用作物图像大数据的农业自动化系统。利用农作物图像的大数据的农业自动化系统包括:农业自动化设备,其包括:生长感测模块,用于发送温度,湿度,日照和天气传感器数据;以及相机模块,用于拍摄和发送作物图像;以及智能农业自动化服务器,包括数据收集模块,用于连续收集和存储农业自动化设备输出的各种传感器数据和农作物图像;以及人工智能模块,用于比较在数据收集模块和嵌入式农作物生长数据库中收集的数据以形成通过人工智能方法存储大数据;集成在智能农业自动化服务器中的控制模块,当数据采集模块采集农作物图像时,驱动人工智能模块输出生长管理控制信号,并从采集的传感器数据中产生综合控制信息将综合控制信息传输到工作计算机或智能手机。当在驱动农业自动化设备的同时拍摄并传输农作物图像时,将驱动人工智能模块的算法来优化和推导温度,湿度,二氧化碳,地温,土壤水,日照,病虫害防治,施肥,每个作物生长阶段的作物供水量,氧气供应量和日照量,以通过人工智能模块的学习算法自动管理作物生长环境并更新大数据。

著录项

  • 公开/公告号KR20200029657A

    专利类型

  • 公开/公告日2020-03-19

    原文格式PDF

  • 申请/专利权人 JANG SUNG SIK;

    申请/专利号KR20180106488

  • 发明设计人 JANG SUNG SIK;

    申请日2018-09-06

  • 分类号G06Q50/02;G06N3/02;G06Q50/10;

  • 国家 KR

  • 入库时间 2022-08-21 11:07:36

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