Impacts of Big Data Analytics for Agriculture tools and techniques

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Published: Mar 1, 2024
DOI: https://doi.org/10.29070/rx4cyf14
Keywords:
Big data analytics, Tools and techniques, Weather, Agriculture

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Authors

Namrata Kumari

Research Scholar, Dept. of Computer Science & IT, Magadh University, Bodh Gaya, Bihar, India

Dr. S. M. Asif Ali

Assit. Prof. & Head, Dept. of Physics Mirza Ghalib College Gaya, Bihar, India

Abstract

The present paper deals with “Impacts of Big Data Analytics for Agriculture tools and techniques.” A random sample 30 Various software platforms are developed to give information to farmers about new tools and techniques related to agriculture: (MySmartFarm, Awhere weather, Phenone, Farmlog, Datafloq, Farmeron) has been used by secondary source from Agriculture depart in the state of Bihar. The traditional tools and techniques (Big data) analysis massive amount of data. To store and analyze this type of data parallel computing and analyze paradigm is required. Big data analytic is used to weather changes and its impacts of agriculture in Bihar. From the big data analytic Agriculture framework is developed that identify disease based on symptoms similarity and recommend a solution based on high similarity and achieve their tools has been used. Then cleansing of data is done that is important information is extracted from unstructured redundant data and were normalization is done that is features are extracted from cleaned data. The data was used to analyze the agricultural tools and technique. It finds out disease name based on weather changes and its impacts of agriculture has been taken on past data. Result has been shows that data analytic in weather changes past 2018-2023 years that was.

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Article Details

Issue

Vol. 21 No. 1 (2024): Journal of Advances in Science and Technology (JAST)

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