Smart Sensing and IoT for Precision Agriculture - Soil Characteristics Monitoring

This paper proposes and implements an energy-efficient battery-powered IoT system to monitor soil for macronutrients. Each measurement node is comprised of a development board, a sensor to measure the N, P and K concentrations in soil, a GPS module to acquire the geolocation and a power relay to cut power in order to conserve battery. The acquired data is displayed on a Node-RED dashboard with geographic and concentration data tracking capabilities for each node, with the possibility to consult historic data. The system was validated locally by monitoring soil conditions for plants.

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Published
2024-08-29
DOI
https://doi.org/10.1109/issi63632.2024.10720482
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00

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article

Smart Sensing and IoT for Precision Agriculture - Soil Characteristics Monitoring

Octavian Postolache, Bruno Mataloto, Oleksandr Kobelyuk
Smart Agriculture and AI
article

Smart Sensing and IoT for Precision Agriculture - Soil Characteristics Monitoring

Octavian Postolache, Bruno Mataloto, Oleksandr Kobelyuk
article en

Abstract

This paper proposes and implements an energy-efficient battery-powered IoT system to monitor soil for macronutrients. Each measurement node is comprised of a development board, a sensor to measure the N, P and K concentrations in soil, a GPS module to acquire the geolocation and a power relay to cut power in order to conserve battery. The acquired data is displayed on a Node-RED dashboard with geographic and concentration data tracking capabilities for each node, with the possibility to consult historic data. The system was validated locally by monitoring soil conditions for plants.

Iscte – Instituto Universitário de Lisboa (PT), Instituto de Telecomunicações (PT)
Instituto de Telecomunicações
Zero hunger
Openalex Percentile: Top 90%
Smart Agriculture and AI
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Smart Sensing and IoT for Precision Agriculture - Soil Characteristics Monitoring — Octavian Postolache, Bruno Mataloto, et al. · (2024) | TGRS Research Map | TGRS