Intelligent Forestry System Design Based on Big Data

Computer & Telecommunication

Current Issue | Archive | Adv Search

Guangdong Planning and Design Institute of Telecommunication Co. Guangdong University of Posts and Telecommunications

Download:

PDF(0KB)
Export: BibTeX | EndNote (RIS)

Abstract With the development of 5G, big data, cloud computing, IOT, mobile Internet and other information technologies of new generation, the design of forestry information system establishes a new mode of forestry development integrating three-dimensional perception, collaborative management and internal and external services by means of perception, IOT and intelligence. Intelligent forestry system is a comprehensive information management system integrating forest management, intelligent forestry business management, green maintenance management and emergency command and dispatching management. Based on the specific project practice, this paper puts forward the overall framework design scheme and management platform design scheme of intelligent forest- ry.

Key words： smart forestry big data Internet of things cloud computing database

Published: 10 April 2020

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	ZHOU Hong-cheng FENG Kai-zheng XIAO Feng

Cite this article:

ZHOU Hong-cheng FENG Kai-zheng XIAO Feng . Intelligent Forestry System Design Based on Big Data. Computer & Telecommunication, 2020, 1(4): 56-59.

URL:

http://www.computertelecom.com.cn/EN/ OR http://www.computertelecom.com.cn/EN/Y2020/V1/I4/56

[1]	LU Bang-ding ZHANG Hong-mei. Exploration on Teaching Reform of C Language Course for Internet of Things Application Technology Specialty[J]. 电脑与电信, 2021, 1(9): 32-34.
[2]	TANG Xiao-qing. A Semi-supervised Linear Subspace Learning Approach via Sparse Coding[J]. 电脑与电信, 2021, 1(8): 44-48.
[3]	CHEN Shuang-quan. Design of Real-time Database for Automatic Measurement and Control System [J]. 电脑与电信, 2021, 1(8): 49-51.
[4]	LIU Hui-fang. Research and Application of Anti-fraud Model Based on Big Data of Communication Operator[J]. 电脑与电信, 2021, 1(7): 46-52.
[5]	WANG Jia-hao. Risk Evaluation of Telecom Big Data Application Project Based on AHP-entropy Weight Method[J]. 电脑与电信, 2021, 1(7): 53-55.
[6]	HUANG Han-yan. Intelligent Classroom Design Based on Three-tier Architecture[J]. 电脑与电信, 2021, 1(5): 22-29.
[7]	YAO Jian-sheng LIU Yan-ling. Teaching Reform and Practice of Smart Tourism Data Science Course[J]. 电脑与电信, 2021, 1(4): 9-11.
[8]	SONG Man. Research on Talents Training Program of Big Data Majors in Higher Vocational Colleges ——Taking Guangzhou City Construction College as an Example[J]. 电脑与电信, 2021, 1(4): 16-22.
[9]	LI Ai-sheng. Exploration and Practice of Intelligent Training Based on CDL Architecture ——Take the Major of Information Security and Management as an Example[J]. 电脑与电信, 2021, 1(4): 81-85.
[10]	YANG Yu XU Wang-ming . Research and Implementation of Real-time Data Processing Platform Based on Storm Technology[J]. 电脑与电信, 2021, 1(1): 51-.
[11]	SONG Zhi-yang ZHOU-Chen ZHANG Juan CHEN Ying-ying. Design and Implementation of PositionAnalysis System of Recruitment Website[J]. 电脑与电信, 2020, 1(9): 6-10.
[12]	HUANG Xiang. Research on theApplication of Cloud Computing in the Construction of Smart Campus[J]. 电脑与电信, 2020, 1(9): 60-62.
[13]	HuangWei. Design of Intelligent Greenhouse System Based on LoRa[J]. 电脑与电信, 2020, 1(9): 63-66.
[14]	LIU Yi-xuan. Research on theApplication of MongoDB in Urban Drainage[J]. 电脑与电信, 2020, 1(8): 55-.
[15]	ZHANG Shu-rong. Practice of the Cloud Teaching Mode in the Course of Database Programming[J]. 电脑与电信, 2020, 1(8): 71-74.

Viewed

Full text

Abstract

Cited

Shared

Discussed