A review on Potential applications of IoT in Microalgae Cultivation and Landfill Leachate Compositions Leading to Non communicable Diseases

Citation

Kamala, Subramaniam Swarna and Jayashree, Sreenivasan and Malarvizhi, Chinnasamy Agamudai Nambi and Sree, Subramaniam Saranya (2023) A review on Potential applications of IoT in Microalgae Cultivation and Landfill Leachate Compositions Leading to Non communicable Diseases. In: 2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT), 5-7 April 2023, Trichirappalli, India.

[img] Text
A_review_on_Potential.pdf - Published Version
Restricted to Repository staff only

Download (466kB)

Abstract

The Internet of Things (IoT) is a network of physical objects that are outfitted with integrated technology that gives them the ability to sense and interact with the environment. IoT has potential applications in a microalgae biorefinery for the automatic control of microalgae cultivation. Microalgae biorefinery is a way where microalgal biomass can be converted into variety of value-added products. The biological treatments using microalgae have drawn a considerable attention on leachate treatment. The leachate is full of dangerous chemicals, many of which are known to cause cancer and other non-communicable diseases to human health. A dual-purpose method to treat the leachate as well as microalgae culturing significantly contribute to a substantial saving in the overall cost of microalgae biomass production. The comparison of different types of microalgae species and its nutrients uptake at various landfills has been discussed in this paper. An integrated microalgae biorefinery system will make it easier for biofuels, high value products, and industrial chemicals to be made from biomass, concurrently reducing the toxicity of leachate and noncommunicable diseases around the world.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Non- Communicable diseases, IOT, Microalgae cultivation, Waste
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines
Divisions: Faculty of Management (FOM)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 05 Sep 2023 01:07
Last Modified: 05 Sep 2023 01:07
URII: http://shdl.mmu.edu.my/id/eprint/11675

Downloads

Downloads per month over past year

View ItemEdit (login required)