Generating an IOT Based Knowedgebase to Analyze The Microalgae Growth

The complex composition of the biomass anolyte was identified as the reason for the improved electrical properties of the algae-fed MFC. It had a varied microbial community and a bacterial group that could respire on numerous anodes. As a result, this work offers a fresh approach to using microbial biomass as a bioresource. By modifying metabolic pathways, it is possible to alter the genomes of microalgae and produce higher yields of lipids, biomass and other components. Subsequently, the pH level sensor, temperature sensor, humidity sensor and LED used for light intensity will provide data to the system. These values are shown on an LCD to track the growth of the algae. Because the genome sequences of microalgae are lengthy and intricate, our comprehension of the functional information included in the numerous gene sequences that make up microalgae is currently limited and primitive. Innovative techniques for producing electricity are being researched in response to the growing demand for sustainable and renewable energy source. The integration of biological systems-more especially, microalgae-with IOT is examined in this research. Through a process called photosynthesis, microalgae have the extraordinary capacity to transform sunlight into chemical energy that may be used to generate bioelectricity. In this work, we offer a through IOT architecture designed to maximise the efficiency of bioelectric generation systems based on microalgae. Proteus software was used to help with the simulation portion of this paper.