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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Youtube comments on Smart Farming

Authors: Yadav, Sargam; Kaushik, Abhishek; Sharma, Mahak; Sharma, Shubham;

Youtube comments on Smart Farming

Abstract

Please cite the following paper, if you are working on or using the above dataset. https://www.mdpi.com/2624-7402/4/2/29 Farming Dataset The datasets are taken from the following 16 YouTube videos related to farming: 1. How Japan Is Reshaping Its Agriculture By Harnessing Smart Farming Technology- Science Insider 2. Europe has the best regenerative farmers in the world - Richard Perkins 3. The Futuristic Farms That Will Feed the World - Freethink 4. Vertical farms could take over the world - Freethink 5. India’s largest Precision Farm - Simply Fresh Discover Agriculture 6. Solar Panels Plus Farming? Agrivoltaics Explained Undecided with Matt Ferell 7. 7 Israeli Agriculture Technologies Israel 8. The CNH Industrial Autonomous Tractor Concept (Full Version CNH Industrial 9. IoT Smart Plant Monitoring System Viral Science -the home of creativity 10. Singapore’s Bold Plan to Build the Farms of the Future Tomorrow’s Build 11. Smart Vertical Farms in Sharjah Episode Up 12. Drones, robots, and super sperm – the future of farming DW Documentary 13. Simply Fresh - India’s Largest State Of The Art Precision Farm 14. RIPPA The Farm Robot Exterminates Pests And Weeds- ABC Science 15. Top 10 Agritech Startups Empowering Indian Farmers Backstage With Millionaires 16. This Farm of the Future Uses No Soil and 95% Less Water Stories Total counts: 7334 The comments have been divided into the following labels: 1. Praising (970 comments) 2. Opinion (3224 comments), 3. Suggestion (231 comments), 4. Undefined (1386 comments), 5. Queries (1007 comments) 6. Hybrid (516 comments). The file includes: 1. Comment 2. Label

Smart Farming (SF) is an emerging technology in the current agricultural landscape. The aim of Smart Farming is to provide tools for various agricultural and farming operations to improve yield by reducing cost, waste, and required manpower. SF is a data-driven approach that can mitigate losses that occur due to extreme weather conditions and calamities. The influx of data from various sensors, and the introduction of information communication technologies (ICTs) in the field of farming has accelerated the implementation of disruptive technologies (DTs) such as machine learning and big data.

{"references": ["Yadav, S., Kaushik, A., Sharma, M. and Sharma, S., 2022. Disruptive technologies in smart farming: an expanded view with sentiment analysis. AgriEngineering, 4(2), pp.424-460."]}

Keywords

smart farming; precision farming; unmanned vehicles; wireless sensor networks; sentiment analysis; computer vision; Internet of things (IoT)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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