Connected Greenhouse for Experimental Validation of IoT Control and Monitoring System

Old-fashioned agriculture does not guarantee food security and sustainable production for a fast-growing demographic. Therefore, an alternative solution such as greenhouse is a key infrastructure element in modern agriculture. The aim of this article is to propose a new connected greenhouse prototype for precision agriculture and irrigation. An Internet of Things (IoT) system is designed to monitor and control environmental factors, in particular temperature, humidity, light levels, and even soil moisture. Our IoT system collects data from wireless sensors and analyzes them using the ESP32 micro- controller. Consequently, the proposed experimental system demonstrates its feasibility in achieving precise control of ambient factors within greenhouse, in a way that provides crucial early-warning mechanisms for the improvement of plant growth

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-06-30
DOI
https://doi.org/10.1051/epjconf/202533004001/pdf
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

Connected Greenhouse for Experimental Validation of IoT Control and Monitoring System

Atman JBARI, Larbi Bellarbi, Nourdin Yaakoubi, Saadbouh Boussaoula et al.
Springer Link (Chiba Institute of Technology)
Smart Agriculture and AI
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Connected Greenhouse for Experimental Validation of IoT Control and Monitoring System

Atman JBARI, Larbi Bellarbi, Nourdin Yaakoubi, Saadbouh Boussaoula, Abdelouahad Achmamad
article en

Abstract

Old-fashioned agriculture does not guarantee food security and sustainable production for a fast-growing demographic. Therefore, an alternative solution such as greenhouse is a key infrastructure element in modern agriculture. The aim of this article is to propose a new connected greenhouse prototype for precision agriculture and irrigation. An Internet of Things (IoT) system is designed to monitor and control environmental factors, in particular temperature, humidity, light levels, and even soil moisture. Our IoT system collects data from wireless sensors and analyzes them using the ESP32 micro- controller. Consequently, the proposed experimental system demonstrates its feasibility in achieving precise control of ambient factors within greenhouse, in a way that provides crucial early-warning mechanisms for the improvement of plant growth

Springer Link (Chiba Institute of Technology)
Zero hunger
Openalex Percentile: Top 21%
Smart Agriculture and AI
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Connected Greenhouse for Experimental Validation of IoT Control and Monitoring System — Atman JBARI, Larbi Bellarbi, et al. · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS