UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 2
February-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2302553


Registration ID:
509394

Page Number

f457-f481

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Title

Sentiment Analysis with Disruptive Technologies in Smart Tilling: A National Framework for Food Supply Chain

Abstract

Smart Farming (SF) is an emerging technology in the current agricultural landscape. The aim of Smart Farming (Tilling) is to provide tools for various agricultural and tilling operations to improve yield by reducing cost, waste, and required manpower. SF is a data-driven approach that can reduce losses that occur due to extreme weather conditions and calamities. The influx of data from various sensors, and the introduction of information communication technology (ies) (ICTs) in the field of tilling has accelerated the implementation of disruptive technology (ies) (DTs) such as machine learning and big data. Application of these predictive and innovative tools in agriculture is crucial for handling unprecedented conditions such as climate change and the increasing global population. In this study, we review the recent advancements in the field of Smart Tilling, which include novel use cases and projects around the globe. An overview of the challenges associated with the adoption of such technology (ies) in their respective regions is also provided. A brief analysis of the general sentiment towards Smart Tilling technology (ies) is also performed by manually annotating YouTube comments and making use of the pattern library. Preliminary findings of our study indicate that, though there are several barriers to the implementation of SF tools, further re search and innovation can alleviate such risks and ensure sustainability of the food supply. The exploratory sentiment analysis also suggests that most digital users are not well-informed about such technology (ies). Tanzania can be a relevant study reference for such a survey.

Key Words

smart farming; precision tilling; unmanned vehicles; wireless sensor networks; sentiment analysis; Internet of Things (IoT)

Cite This Article

"Sentiment Analysis with Disruptive Technologies in Smart Tilling: A National Framework for Food Supply Chain", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 2, page no.f457-f481, February-2023, Available :http://www.jetir.org/papers/JETIR2302553.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Sentiment Analysis with Disruptive Technologies in Smart Tilling: A National Framework for Food Supply Chain", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 2, page no. ppf457-f481, February-2023, Available at : http://www.jetir.org/papers/JETIR2302553.pdf

Publication Details

Published Paper ID: JETIR2302553
Registration ID: 509394
Published In: Volume 10 | Issue 2 | Year February-2023
DOI (Digital Object Identifier):
Page No: f457-f481
Country: Jalandhar , Punjab, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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