Automated Hydroponic System Measurement for Smart Greenhouses in Algeria

Increasing food security and water shortages need creative agricultural methods, especially in dry places like Algeria. This research examines an Arduino-controlled smart greenhouse system for hydroponic barley growing, addressing the demand for resource-efficient farming. The experiment at the University of Tebessa (34°09'16"N, 8°07'44"E) used a semi-cylindrical greenhouse (0.65m × 0.70m × 0.65m) with DHT22 sensors for temperature and humidity monitoring, photoresistors for lighting control, and controlled watering systems. The approach yielded 26% more barley (120g vs. 95g) in 10 weeks instead of 12 weeks. Compared to soil-based approaches, water use efficiency reached 50 g/L, a 70-90% decrease. Optimizing energy usage to 150 kWh saved 9% over prior smart greenhouse systems (165 kWh). To achieve 95% nutrient absorption efficiency, the automated control system maintained ideal growth conditions at 20-25°C and 60-80% relative humidity. Compared to conventional approaches, key performance indicators revealed significant improvements: average plant height grew by 18%, tiller count increased by 33%, and leaf area extended to 1000 cm². A semi-cylindrical design increased spatial efficiency by 20% and reduced disease outbreaks by 10%. These findings show that Arduino-based smart greenhouse technology may boost barley production efficiency and minimize resource usage, making it a viable alternative for sustainable agriculture in dry locations.

Authors

Institutions

Publication Details

Journal
Solar Energy and Sustainable Development
Published
2025-02-05
DOI
https://doi.org/10.51646/jsesd.v14i1.306
Citations
1
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
1.75
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automated Hydroponic System Measurement for Smart Greenhouses in Algeria

Zied Driss, Moussa Attia, Nour Belghar
1 citations
Solar Energy and Sustainable Development
Smart Agriculture and AI
1.75
article

Automated Hydroponic System Measurement for Smart Greenhouses in Algeria

Zied Driss, Moussa Attia, Nour Belghar
article en
1 citations

Abstract

Increasing food security and water shortages need creative agricultural methods, especially in dry places like Algeria. This research examines an Arduino-controlled smart greenhouse system for hydroponic barley growing, addressing the demand for resource-efficient farming. The experiment at the University of Tebessa (34°09'16"N, 8°07'44"E) used a semi-cylindrical greenhouse (0.65m × 0.70m × 0.65m) with DHT22 sensors for temperature and humidity monitoring, photoresistors for lighting control, and controlled watering systems. The approach yielded 26% more barley (120g vs. 95g) in 10 weeks instead of 12 weeks. Compared to soil-based approaches, water use efficiency reached 50 g/L, a 70-90% decrease. Optimizing energy usage to 150 kWh saved 9% over prior smart greenhouse systems (165 kWh). To achieve 95% nutrient absorption efficiency, the automated control system maintained ideal growth conditions at 20-25°C and 60-80% relative humidity. Compared to conventional approaches, key performance indicators revealed significant improvements: average plant height grew by 18%, tiller count increased by 33%, and leaf area extended to 1000 cm². A semi-cylindrical design increased spatial efficiency by 20% and reduced disease outbreaks by 10%. These findings show that Arduino-based smart greenhouse technology may boost barley production efficiency and minimize resource usage, making it a viable alternative for sustainable agriculture in dry locations.

Solar Energy and Sustainable DevelopmentVol. 14(1)
University of Sfax (TN), University of Biskra (DZ), Université Larbi Tébessi (DZ)
Openalex Percentile: Top 17%
Smart Agriculture and AI
1.75
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.