Standard Agricultural Drone Data Analytics using KNN Algorithm

Authors

  • S. Meivel
  • S. Maheswari

Abstract

Standard Drone - Agricultural data (Drone Network) get business support systems, opportunities, analysis of network data, business value, extensive telecom competence, user Experience, Optimization programming, get protocol Standardize, data stability execution and how to understand or how the relevant insights can be extracted from raw data before applying standard Drone - Agricultural data (Drone Network) techniques as needed. Good decision-making needed a successful business model for Telecom Management. Communication service provider helps Standard Drone - Agricultural data (Drone Network) analytics to solve the major problems to increase the growth of the business. Business Model Classified and tested each day in Telecom.

Such a platform analyzes incoming data in real-time, makes correlations, produces Standard Drone - Agricultural data (Drone Network) insights and exposes those insights to various applications. This approach both enhances the performance of each application and leverages the standard Drone - Agricultural data (Drone Network) investments across multiple applications. Storing and processing huge amounts of information is no longer the issue. The challenge now is to know what needs to be done within the standard Drone - Agricultural data (Drone Network) analytics platform to create specific value. Drone - Agricultural data dynamically change nodes to ensure optimal customer Expectation. This paper proposed to dynamically change the Standard Drone - Agricultural data (Drone Network) value can be optimized and performed with various applications.

Keywords: Standard Drone - Agricultural data (Drone Network) value, network provider, Frequencies, service Provider, Telecom Technology.

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Published

2020-01-02

Issue

Section

Articles