Precision Agriculture Monitoring and Control System Using In-House-Designed Capacitive Sensors

This paper describes the design and implementation of an automated irrigation control system that uses data collected by a wireless sensor network. Each sensor node, built on a custom-designed printed circuit board, includes sensors for light intensity, temperature, and a custom soil moisture sensor. Data is transmitted to a central control node via ESP-NOW, where it is processed and compared with configurable thresholds retrieved from Google Sheets over Wi-Fi. Irrigation is triggered automatically when conditions meet the remotely defined thresholds. A key contribution is the development and testing of a custom soil moisture sensor, with results compared to commercial models. The system supports low-power operation through deep sleep modes, enabling long-term field deployment. The novelty lies in the complete integration of hardware, software, and cloud-based control, providing a flexible and low-cost solution for precision agriculture. The system can be deployed in greenhouses or open fields and serves as a platform for future research in smart irrigation. The fundamental aspect is a very user-friendly solution for any farmer attributable to easy accommodation to the Google Sheets interface, no maintenance cost over the cloud account, and up to 45 days of battery life or a built-in alternative for solar power.

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Publication Details

Journal
Agronomy
Published
2026-07-17
DOI
https://doi.org/10.3390/agronomy16141358
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

Precision Agriculture Monitoring and Control System Using In-House-Designed Capacitive Sensors

Rodica-Cristina Negroiu, Bogdan Mihăilescu, Cristina Marghescu, Ștefania Hoței
Agronomy
Smart Agriculture and AI
article

Precision Agriculture Monitoring and Control System Using In-House-Designed Capacitive Sensors

Rodica-Cristina Negroiu, Bogdan Mihăilescu, Cristina Marghescu, Ștefania Hoței
article en

Abstract

This paper describes the design and implementation of an automated irrigation control system that uses data collected by a wireless sensor network. Each sensor node, built on a custom-designed printed circuit board, includes sensors for light intensity, temperature, and a custom soil moisture sensor. Data is transmitted to a central control node via ESP-NOW, where it is processed and compared with configurable thresholds retrieved from Google Sheets over Wi-Fi. Irrigation is triggered automatically when conditions meet the remotely defined thresholds. A key contribution is the development and testing of a custom soil moisture sensor, with results compared to commercial models. The system supports low-power operation through deep sleep modes, enabling long-term field deployment. The novelty lies in the complete integration of hardware, software, and cloud-based control, providing a flexible and low-cost solution for precision agriculture. The system can be deployed in greenhouses or open fields and serves as a platform for future research in smart irrigation. The fundamental aspect is a very user-friendly solution for any farmer attributable to easy accommodation to the Google Sheets interface, no maintenance cost over the cloud account, and up to 45 days of battery life or a built-in alternative for solar power.

AgronomyVol. 16(14)
Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
Zero hunger
Openalex Percentile: Top 10%
Smart Agriculture and AI
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Precision Agriculture Monitoring and Control System Using In-House-Designed Capacitive Sensors — Rodica-Cristina Negroiu, Bogdan Mihăilescu, et al. · Agronomy (2026) | TGRS Research Map | TGRS