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Ecosphere Management Model of Farmer Cooperatives Based on Intelligent Data Sampling Technology

In order to improve the operation effect of farmer cooperatives, this paper combines the intelligent data sampling technology to analyze the ecological circle operation mode of farmer cooperatives. Moreover, this paper strives to promote the ecosphere business model, accelerate regional development,...

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Detalles Bibliográficos
Autores principales: Fang, Ting, Liao, Xiaoming, Fang, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970920/
https://www.ncbi.nlm.nih.gov/pubmed/35371244
http://dx.doi.org/10.1155/2022/1549275
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author Fang, Ting
Liao, Xiaoming
Fang, Ming
author_facet Fang, Ting
Liao, Xiaoming
Fang, Ming
author_sort Fang, Ting
collection PubMed
description In order to improve the operation effect of farmer cooperatives, this paper combines the intelligent data sampling technology to analyze the ecological circle operation mode of farmer cooperatives. Moreover, this paper strives to promote the ecosphere business model, accelerate regional development, build agricultural pastoral complex projects and in-depth study TI-ADC modeling, error estimation, mismatch compensation, and other technologies, and carry out engineering realization. In addition, this paper uses technology to analyze intelligent data and builds a system structure based on the actual needs of the farmer cooperative ecosphere management. Finally, this paper analyzes the structure and flow of the data processing layer. The test results show that the ecosystem business model of farmer cooperatives based on intelligent data sampling technology proposed in this paper has good results.
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spelling pubmed-89709202022-04-01 Ecosphere Management Model of Farmer Cooperatives Based on Intelligent Data Sampling Technology Fang, Ting Liao, Xiaoming Fang, Ming Comput Intell Neurosci Research Article In order to improve the operation effect of farmer cooperatives, this paper combines the intelligent data sampling technology to analyze the ecological circle operation mode of farmer cooperatives. Moreover, this paper strives to promote the ecosphere business model, accelerate regional development, build agricultural pastoral complex projects and in-depth study TI-ADC modeling, error estimation, mismatch compensation, and other technologies, and carry out engineering realization. In addition, this paper uses technology to analyze intelligent data and builds a system structure based on the actual needs of the farmer cooperative ecosphere management. Finally, this paper analyzes the structure and flow of the data processing layer. The test results show that the ecosystem business model of farmer cooperatives based on intelligent data sampling technology proposed in this paper has good results. Hindawi 2022-03-24 /pmc/articles/PMC8970920/ /pubmed/35371244 http://dx.doi.org/10.1155/2022/1549275 Text en Copyright © 2022 Ting Fang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Fang, Ting
Liao, Xiaoming
Fang, Ming
Ecosphere Management Model of Farmer Cooperatives Based on Intelligent Data Sampling Technology
title Ecosphere Management Model of Farmer Cooperatives Based on Intelligent Data Sampling Technology
title_full Ecosphere Management Model of Farmer Cooperatives Based on Intelligent Data Sampling Technology
title_fullStr Ecosphere Management Model of Farmer Cooperatives Based on Intelligent Data Sampling Technology
title_full_unstemmed Ecosphere Management Model of Farmer Cooperatives Based on Intelligent Data Sampling Technology
title_short Ecosphere Management Model of Farmer Cooperatives Based on Intelligent Data Sampling Technology
title_sort ecosphere management model of farmer cooperatives based on intelligent data sampling technology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970920/
https://www.ncbi.nlm.nih.gov/pubmed/35371244
http://dx.doi.org/10.1155/2022/1549275
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