# Control and Monitoring System for Aeroponic Lettuce Spraying using Logistic Regression
> Salsabila A.D.

URL kanonis: https://discover.unhas.ac.id/publications/control-and-monitoring-system-for-aeroponic-lettuce-spraying-using-logistic-regr
Jurnal / Konferensi: Proceedings 2024 Fortei International Conference on Electrical Engineering Empowering Innovations Navigating the Future of Semiconductor Industry Fortei Icee 2024
Tahun terbit: 2024
DOI: https://doi.org/10.1109/FORTEI-ICEE64706.2024.10824456
Citations: 0

## Authors
- Salsabila A.D.

## Abstract
Urban agriculture has become increasingly popular as communities seek to maximize available space for food cultivation. Aeroponics, a technique where plants are suspended and nutrient solutions are sprayed directly onto their roots, is one of these innovative farming methods. Although aeroponics offers efficiency benefits over traditional systems, it also presents challenges in complexity. Leveraging modern technology, this study introduces a control and monitoring system tailored for aeroponic lettuce cultivation. Utilizing an ESP32 microcontroller integrated with DHT22, water level, and TDS sensors, the system adjusts nutrient delivery based on temperature and humidity conditions, with real-time monitoring available via a web interface. By automating the pumping mechanism to align with environmental parameters, this system optimizes lettuce growth and conserves water more efficiently than standard methods.

## Keywords
- Logistic regression
- Control (management)
- Computer science
- Environmental science
- Artificial intelligence
- Machine learning

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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