Performance modeling and optimization of a smart sensor-based Hydroponic system using PSO and Genetic algorithms
Amit Kumar, Sujata Jadhav · 2026
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Description
Amit Kumar and Sujata Jadhav model how reliably a sensor run hydroponic farm keeps working, in a 2026 study. Soil free farms stack sensors, controllers, and pumps, and a failure in any part can kill a crop. Steady uptime matters most where water and land are scarce. Their math model walks the system through working, worn, and failed states over time.
Two nature inspired search methods then tuned the setup for uptime. A swarm method and a gene based method each pushed availability near ninety eight percent in their runs, with small gaps set by tuning choices. The authors offer the pair of tools as a planning aid, helping growers set repair schedules and pick settings before breakdowns bite.
Catalog record
| CREATOR | Amit Kumar, Sujata Jadhav |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 125650 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |