What question did this study set out to answer?

The aim is to develop a data collection method utilizing LED sensors and analyze the data with machine learning models.

April 10, 2026Open Access

Soil Digitalization Using LED Sensors

Key Points

The aim is to develop a data collection method utilizing LED sensors and analyze the data with machine learning models.
Utilized LED sensors for data collection in various agricultural applications.
Developed software by Sensichips s.r.l., SLM-Studio for sensor data integration.
Applied multispectral spectroscopy for monitoring soil and plant health.
Demonstrated effective data collection from soil and plant sensors.
Showed potential improvements in irrigation monitoring and soil health assessment.
Identified applications in monitoring air chemical-physical conditions.

Abstract

In this paper, we propose a method of data collection from different sensors through a software developed by Sensichips s.r.l., SLM-Studio, which can then be compared with MLP machine learning models trained through data available on the Sensichips website. The measurements performed by the multispectral SpeCtroscoPe SCP can be applied in different fields of precision agriculture ranging from irrigation water monitoring to the health status of plants and soils up to the monitoring of the chemical-physical conditions of the air.

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Authors

FEDERICO FINA

Massimo Piotto

SIMONE CONTARDI

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Institutions

University of Pisa

Roma Tre University

LTCalcoli (Italy)

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Soil Digitalization Using LED Sensors

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Abstract

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Authors

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