Design and implementation of one-stop analysis and prediction platform for agricultural big data
10th International Conference on Orange Technology, ICOT 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-2237457
ABSTRACT
With the continuous outbreak of COVID-19, it is becoming more and more difficult for individual farmers to survive only by offline production and sales. However, in this context, a perfect and humanized platform system has not yet been designed and put on the market. This system is committed to building a one-stop analysis and prediction platform for agricultural big data. Platform of the main service object for farmers, the use of the combination of online and offline model to analyze agricultural data, online business mainly for agriculture market dynamics, cost prediction, the profit prediction and disaster prediction, analysis of information related to supply reference for farmers and to cross-strait agricultural cooperation pilot zone of offline business provide the corresponding data of agricultural industry, To promote agricultural informatization and agricultural production, management, management, service for the service of effective integration between fulcrum, aiming at the current situation of agricultural development, agricultural products in rural areas are poor and on the development of the agricultural innovation, using the data from becoming more complete information and the foundation of agriculture information construction, to 'Internet + modern agriculture' as an opportunity to help farmers set up network information service. © 2022 IEEE.
agricultural big data one-stop analysis and prediction platform; agricultural informatization; Big data; Agricultural products; Commerce; Forecasting; Information management; Information services; Agricultural big data one-stop analyse and prediction platform; Design and implementations; Informatization; Offline; Offline models; On-line modelling; One stop; Platform systems; Service objects
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Prognostic study
/
Randomized controlled trials
Language:
English
Journal:
10th International Conference on Orange Technology, ICOT 2022
Year:
2022
Document Type:
Article
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