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Clustering Weather Time Series used for Agricultural Disease Alert Systems in Florida

  • Published:2023-05 Issue: Volume: Page:
  • ISSN:
  • Container-title:2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC)
  • language:
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Author:

De Oliveira Marcos A.1,Cavalheiro Gerson Geraldo H.2,Cerbaro Vinícius Andrei3,Fraisse Clyde3

Affiliation:

1. Federal Institute of Education, Science and Technology Farroupilha,Santa Maria,RS,Brazil

2. Federal University of Pelotas,Technological Development Center,Pelotas,RS,Brazil

3. University of Florida,Agricultural and Biological Engineering Department,Gainesville,FL,USA

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

IEEE

Reference20 articles.

1. Introduction to the k-means clustering algorithm based on the elbow method;cui;Journal of Accounting, Auditing & Finance,2020

2. Silhouettes: A graphical aid to the interpretation and validation of cluster analysis

3. Climate Services for Agricultural and Livestock Producers: What have we learned?

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Meteorological Time Series Clustering in Agricultural Applications: A Systematic Literature Review;Proceedings of the 20th Brazilian Symposium on Information Systems;2024-05-20

2. Clustering of meteorological data to improve agricultural decisions: a case study with SIMAGRO-RS;Proceedings of the 20th Brazilian Symposium on Information Systems;2024-05-20
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