Energy saving using transformation algorithm in vertical farming.

Autor: Karthikeyan, A., Anand, C., Manoj Kumar, N., Seenuvasan, K., Gowtham, B., Kirubakaran, S. J. Jebasingh
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Zdroj: AIP Conference Proceedings; 2024, Vol. 2965 Issue 1, p1-8, 8p
Abstrakt: The data aggregation in this research is centred on transforming data or reducing redundant data accumulation. Edge computing capacity is being used by management to decrease costs by removing redundancy. In order to enhance energy efficiency and reduce waste, this research suggests a Vertical Farm design. Both traditional and cutting-edge system applications are founded on the principle of maximising efficiency in the development of sophisticated control environments. Modern agriculture is undergoing a sea change, with the concept of vertical farming emerging as the wave of the future. The tension between ecological, social, and economic sustainability must be resolved, and vertical farming provides the answer. In order to maintain accurate sensing, a plethora of sensors were used in vertical farming. It takes a lot of energy for these sensors. We suggest this strategy to lessen the load on sensors' power sources. The idea behind our project is to gather data from sensors and then 'delay' the most energy-hungry ones. Sending a delay tells the sensor to minimise its output, which in turn reduces its power consumption. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index