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Research on the processing method of multi-source heterogeneous data in the intelligent agriculture cloud platform

Weimin Gao

Weimin Gao

  • School of Computer Science and Engineering, Central South UniversityChangsha, China
  • Department of Computer Science and Engineering, Hunan Institute of TechnologyHeng Yang, China
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Gao, Weimin
, 
Jiaming Zhong

Jiaming Zhong

College of Economic and Management, Xiangnan UniversityChenzhou, China
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Zhong, Jiaming
 et 
Yichen Liu

Yichen Liu

Hunan Dajiang Agricultural Technology Co., LtdHeng Yang, China
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Liu, Yichen
  
20 mai 2022
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Publié en ligne: 20 mai 2022
Pages: 2367 - 2376
Reçu: 05 oct. 2021
Accepté: 15 mars 2022
DOI: https://doi.org/10.2478/amns.2021.2.00184
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© 2023 Weimin Gao et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Preprocessing of agricultural multi-source heterogeneous data
Preprocessing of agricultural multi-source heterogeneous data

Fig. 2

The idea of algorithm
The idea of algorithm

Fig. 3

Comparisons between the algorithm and traditional K-means
Comparisons between the algorithm and traditional K-means
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Sujets de la revue:
Sciences de la vie, Sciences de la vie, autres, Mathématiques, Mathématiques appliquées, Mathématiques générales, Physique, Physique, autres
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