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Research on Precision Planting Management System Based on Agricultural Big Data
Author(s) -
Yu Li
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1544/1/012174
Subject(s) - automation , agriculture , data collection , precision agriculture , cloud computing , upload , big data , agricultural productivity , agricultural engineering , the internet , data management , computer science , engineering , database , data mining , world wide web , geography , mathematics , mechanical engineering , statistics , archaeology , operating system
Through the use of agricultural intelligent sensing equipment and intelligent control equipment, the precision planting management system builds the Internet of Things monitoring network in the agricultural production site to realize real-time data collection, monitoring of the climate environment, soil conditions, crop growth, pests and diseases, and remote automation control of various agricultural facilities and equipment on the site. The collected agricultural big data is uploaded to the planting management cloud platform in real time, and statistical analysis is performed instantly, which addresses the staff’s demand for data collection and analysis. Through data mining and analysis, the rules and expertise of high-quality and high-yield crops are obtained, which further guides the regulation of agricultural varieties and production environment, so as to achieve intelligent planting.

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