I2C-Multiplexed Sensor Network for Microclimate Monitoring in Smart Plant Factories

Plant factories with artificial light (PFAL) enable precise environmental control for vertical indoor agricultural production systems. However, their multi-layer configuration often creates stagnant air zones with significant temperature and humidity gradients. While ventilation systems are essential for mitigating these issues, their effective design requires accurate and distributed climate monitoring. The deployment of distributed microclimate sensors in PFAL environments remains challenging when multiple identical I2C sensors are required, particularly in low-cost monitoring architectures. Because of their fixed I2C addresses, these devices cannot be connected directly to the same bus without conflicts, prompting the need for multiple controllers and thereby increasing system costs. This study evaluates the implementation of a low-cost, multiplexed IoT sensor network for PFAL microclimate monitoring based on an ESP32 microcontroller and an I2C multiplexer (TCA9548A). This network enables simultaneous operation of five SHT20 temperature and humidity sensors at different levels within a PFAL structure. The multiplexing architecture generated coherent multipoint measurements, demonstrating its practical suitability for microclimate monitoring in PFAL environments. However, the system’s performance was compromised by its reliance on the local Wi-Fi network, resulting in intermittent connectivity failures and significant data loss during internet outages. The presented findings and observed limitations underscore the need for complementary strategies, such as local data buffering or a dedicated private network, to ensure reliable long-term monitoring in smart agricultural environments.

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Publication Details

Journal
AgriEngineering
Published
2026-09-01
DOI
https://doi.org/10.3390/agriengineering8090366
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00

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article

I2C-Multiplexed Sensor Network for Microclimate Monitoring in Smart Plant Factories

Leandro Tiago Manera, Davi Souza, T.Q. Zorzeto, Luís Felipe Villani Purquerio et al.
AgriEngineering
Smart Agriculture and AI
article

I2C-Multiplexed Sensor Network for Microclimate Monitoring in Smart Plant Factories

Leandro Tiago Manera, Davi Souza, T.Q. Zorzeto, Luís Felipe Villani Purquerio, Eduardo Fernandes Nunes, Alejo Osuna
article en

Abstract

Plant factories with artificial light (PFAL) enable precise environmental control for vertical indoor agricultural production systems. However, their multi-layer configuration often creates stagnant air zones with significant temperature and humidity gradients. While ventilation systems are essential for mitigating these issues, their effective design requires accurate and distributed climate monitoring. The deployment of distributed microclimate sensors in PFAL environments remains challenging when multiple identical I2C sensors are required, particularly in low-cost monitoring architectures. Because of their fixed I2C addresses, these devices cannot be connected directly to the same bus without conflicts, prompting the need for multiple controllers and thereby increasing system costs. This study evaluates the implementation of a low-cost, multiplexed IoT sensor network for PFAL microclimate monitoring based on an ESP32 microcontroller and an I2C multiplexer (TCA9548A). This network enables simultaneous operation of five SHT20 temperature and humidity sensors at different levels within a PFAL structure. The multiplexing architecture generated coherent multipoint measurements, demonstrating its practical suitability for microclimate monitoring in PFAL environments. However, the system’s performance was compromised by its reliance on the local Wi-Fi network, resulting in intermittent connectivity failures and significant data loss during internet outages. The presented findings and observed limitations underscore the need for complementary strategies, such as local data buffering or a dedicated private network, to ensure reliable long-term monitoring in smart agricultural environments.

AgriEngineeringVol. 8(9)
Universidade Estadual de Campinas (UNICAMP) (BR), Agronomical Institute of Campinas (BR), IAC (United States) (US)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Universidade Estadual de Campinas
Openalex Percentile: Top 13%
Smart Agriculture and AI
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