TY - JOUR
T1 - Harvesting Insights
T2 - Sentiment Analysis on Smart Farming YouTube Comments for User Engagement and Agricultural Innovation
AU - Kaushik, Abhishek
AU - Yadav, Sargam
AU - Mcdaid, Kevin
AU - Sharma, Shubham
N1 - Publisher Copyright:
© 1982-2012 IEEE.
PY - 2024
Y1 - 2024
N2 - The fourth agricultural revolution has popularized the usage of information and communication technologies (ICTs) in farms, which has been shown to improve productivity [1], reduce labor, and help mitigate unforeseen circumstances through predictive modeling [2]. This practice is referred to as smart farming and has seen several successful applications worldwide in recent years [3]. Smart farming projects are conducted over a long period of time and can have a noteworthy impact [4], [5], [6], [7], [8]. Some major concerns regarding the new smart farming technologies are data and privacy concerns [9], lack of reliable infrastructure and equipment [10], laws and regulations in a particular location, training, and skill acquisition [11], and apprehension associated with the adoption of new technology. Farmers need to be provided with proper training and support to help them adopt new sustainable practices [12], [13]. It is also important to monitor the sentiments of farmers and the public toward innovations in the field of smart farming to allow for easier adaptation to changes and enhance future projects. Sentiment analysis can highlight the aspects of smart farming, which are positively and negatively perceived by the public, which can uncover areas for improvement. Insights derived through sentiment analysis can be invaluable for various shareholders, as it can signal market demand for smart farming tools.
AB - The fourth agricultural revolution has popularized the usage of information and communication technologies (ICTs) in farms, which has been shown to improve productivity [1], reduce labor, and help mitigate unforeseen circumstances through predictive modeling [2]. This practice is referred to as smart farming and has seen several successful applications worldwide in recent years [3]. Smart farming projects are conducted over a long period of time and can have a noteworthy impact [4], [5], [6], [7], [8]. Some major concerns regarding the new smart farming technologies are data and privacy concerns [9], lack of reliable infrastructure and equipment [10], laws and regulations in a particular location, training, and skill acquisition [11], and apprehension associated with the adoption of new technology. Farmers need to be provided with proper training and support to help them adopt new sustainable practices [12], [13]. It is also important to monitor the sentiments of farmers and the public toward innovations in the field of smart farming to allow for easier adaptation to changes and enhance future projects. Sentiment analysis can highlight the aspects of smart farming, which are positively and negatively perceived by the public, which can uncover areas for improvement. Insights derived through sentiment analysis can be invaluable for various shareholders, as it can signal market demand for smart farming tools.
UR - http://www.scopus.com/inward/record.url?scp=85204439598&partnerID=8YFLogxK
U2 - 10.1109/MTS.2024.3455754
DO - 10.1109/MTS.2024.3455754
M3 - Article
AN - SCOPUS:85204439598
SN - 0278-0097
JO - IEEE Technology and Society Magazine
JF - IEEE Technology and Society Magazine
ER -