International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 72 | Issue 5 | Year 2024 | Article Id. IJCTT-V72I5P123 | DOI : https://doi.org/10.14445/22312803/IJCTT-V72I5P123

Predictive Analysis of Smart Spray Solutions


Jeshwanth Kundem, Michelle Magdziarz, Ger Vue, Chia Yathortou

Received Revised Accepted Published
25 Mar 2024 30 Apr 2024 11 May 2024 22 May 2024

Citation :

Jeshwanth Kundem, Michelle Magdziarz, Ger Vue, Chia Yathortou, "Predictive Analysis of Smart Spray Solutions," International Journal of Computer Trends and Technology (IJCTT), vol. 72, no. 5, pp. 188-197, 2024. Crossref, https://doi.org/10.14445/22312803/ IJCTT-V72I5P123

Abstract

The digitization of products is considered the fourth industrial revolution. The spray paint applicator manufacturers are presently assessing the market to digitize their products through multiple smart solutions. A confined market survey on various aspects of digitization has been performed, on which descriptive and statistical analysis has been conducted. Results indicate that most of the features are not correlated with most of the demographic/ user profile variables. However statistical analysis suggests that the experience level of participants has significance in dictating the interest level in features. Most of the participants are interested in features that come under the notification category.

Keywords

Paint sprayers, Predictive analysis, Descriptive analysis, Digitization, Airless.

References

[1] Yuanyuan Song et al., “Technology Application of Smart Spray in Agriculture: A Review,” Intelligent Automation & Soft Computing, vol. 21, no. 3, pp. 319-333, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Sinan Akdan et al., “An Agricultural Unmanned Ground Vehicle for Localized Spraying of Harmful Plants Using CNN,” Interdisciplinary Studies on Contemporary Research Practices in Engineering in the 21st Century-III, pp. 251-265, 2023.
[CrossRef] [Publisher Link]
[3] Ramesh K. Sahni et al., Drone Spraying System for Efficient Agrochemical Application in Precision Agriculture, Applications of Computer Vision and Drone Technology in Agriculture 4.0, Springer, Singapore, pp. 225-244, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Dan Miller, Smart Sprayer Technology, 2022. [Online]. Available: https://www.dtnpf.com/agriculture/web/ag/news/article/2022/02/10/smarter-sprayers
[5] Paul Kline, An Easy Guide to Factor Analysis, 1 st ed., Routledge, pp. 1-208, 1994.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Jae-On Kim, and Charles W. Mueller, Factor Analysis Statistical Methods and Practical Issues, Sage Publications, pp. 1-88, 1978
[Google Scholar] [Publisher Link]
[7] Raymond B. Cattell, “The Scree Test for the Number of Factors,” Multivariate Behavioral Research, vol. 1, no. 2, pp. 245-276, 1966.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Raymond B. Cattell, and S. Vogelmann, “A Comprehensive Trial of the Scree and KG Criteria for Determining the Number of Factors,” Multivariate Behavioral Research, vol. 12, no. 3, pp. 289-325, 1977.
[CrossRef] [Google Scholar] [Publisher Link]