Smart Vertical Farming Using IoT

Rajermani, Thinakaran and Sarasvathi, Nahalingham and Eng, Jing Hui (2020) Smart Vertical Farming Using IoT. INTI JOURNAL, 2020 (49). ISSN e2600-7320

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Abstract

The vegetable industry is one of the important industries in Malaysia. It provides food for people, creates jobs for rural community and generates revenue for economic development. However, in current years, vegetable industries in Malaysia could not fulfil the demand due to shortage of workers in the farms. Thus, in this paper, Smart Vertical Farming System (SVFS) using IoT was proposed. It is a green revolution using emerging Information and Communication Technologies, into farming field. The system was developed using waterfall model with qualitative approach. The system able to monitor soil humidity, grow light and temperature of the planting environment. Initially the system was tested together with traditional farming method by growing 2 different kind of vegetables. After nineteen days, vegetables grown under SFVS could grow much faster and produce more leaves. From the finding it shows the system able to help the farmer to increase the quantity and quality of vegetables and ensure that the market having enough stock with reasonable price.

Item Type:	Article
Uncontrolled Keywords:	IoT, Smart Vertical Farming, waterfall model, soil humidity, grow light, temperature
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software S Agriculture > S Agriculture (General)
Divisions:	Faculty of Information Technology
Depositing User:	Unnamed user with email masilah.mansor@newinti.edu.my
Date Deposited:	03 Dec 2020 03:09
Last Modified:	22 Mar 2024 06:25
URI:	http://eprints.intimal.edu.my/id/eprint/1466

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