Please use this identifier to cite or link to this item:
https://rda.sliit.lk/handle/123456789/3358
Title: | Supervising Plant Growth in a Greenhouse |
Authors: | Alexander, D.L Hathnapitiya, G.A.G. Gamage, A.I Bandara, P.M.P.C Giragama, G.W.M.N.U.I.B Supunya Swamakantha, N.H.P.R |
Keywords: | Supervising Plant Growth Greenhouse |
Issue Date: | 30-Nov-2022 |
Publisher: | IEEE |
Citation: | D. L. Alexander, G. A. G. Hathnapitiya, A. I. Gamage, P. M. P. C. Bandara, G. W. M. N. U. I. B. Giragama and N. H. P. Ravi Supunya Swamakantha, "Supervising Plant Growth in a Greenhouse," 2022 22nd International Conference on Advances in ICT for Emerging Regions (ICTer), Colombo, Sri Lanka, 2022, pp. 154-159, doi: 10.1109/ICTer58063.2022.10024069. |
Series/Report no.: | 2022 22nd International Conference on Advances in ICT for Emerging Regions (ICTer); |
Abstract: | Since the beginning of civilization, agriculture has played a significant part in the economy of a nation. Currently, as the population continues to increase at a rapid rate, arable lands are dwindling alongside urbanization. Even though farmers devote a substantial amount of time and effort to farming, environmental factors such as seasonal shifts can have a significant impact on the crop. Smart agriculture is implemented to boost the production of high-quality goods and address the lack of control over the farming process. The intelligent greenhouse technology proposed here is called “GSense,” and it could boost plant productivity by managing the greenhouse’s climate. In addition, this solution is useful for novices who are just beginning out in agriculture because it can make recommendations to its user. The execution of the solution is complemented by a mobile application and a desktop application via which the user may submit inputs and examine real-time sensor data |
URI: | https://rda.sliit.lk/handle/123456789/3358 |
ISSN: | 2472-7598 |
Appears in Collections: | Department of Computer Science and Software Engineering Research Papers - Dept of Computer Science and Software Engineering Research Papers - IEEE Research Papers - SLIIT Staff Publications |
Files in This Item:
File | Description | Size | Format | |
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Supervising_Plant_Growth_in_a_Greenhouse.pdf Until 2050-12-31 | 7.76 MB | Adobe PDF | View/Open Request a copy |
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