Fresh Fruit Recognition Using IOT

Big Data and Data Analytics are transforming business operations by enabling data-driven decision-making.With data generated from sources like social media, e-commerce, and IoT devices, organizations face the challenge of processing vast amounts of information.Big Data, characterized by its Volume, Velocity, and Variety, requires advanced analytics tools to extract valuable insights.This paper explores the impact of Big Data analytics across industries such as retail, healthcare, and finance, using techniques like descriptive, predictive, and prescriptive analytics to optimize operations and drive innovation.However, challenges such as data privacy, integration issues, and theneed for skilled professionals hinder its full adoption.The paper discusses these challenges and suggests strategies for effective implementation.

Authors

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.22161/ijaems.ncitsa.2025.33
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Fresh Fruit Recognition Using IOT

Devendra Sharma, Kartik Joshi, A. Gurjar, Rishu Kumar
Smart Agriculture and AI
article

Fresh Fruit Recognition Using IOT

Devendra Sharma, Kartik Joshi, A. Gurjar, Rishu Kumar
article en

Abstract

Big Data and Data Analytics are transforming business operations by enabling data-driven decision-making.With data generated from sources like social media, e-commerce, and IoT devices, organizations face the challenge of processing vast amounts of information.Big Data, characterized by its Volume, Velocity, and Variety, requires advanced analytics tools to extract valuable insights.This paper explores the impact of Big Data analytics across industries such as retail, healthcare, and finance, using techniques like descriptive, predictive, and prescriptive analytics to optimize operations and drive innovation.However, challenges such as data privacy, integration issues, and theneed for skilled professionals hinder its full adoption.The paper discusses these challenges and suggests strategies for effective implementation.

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