Soil digitalization using LED sensors

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.