Soil Digitalization Using Micro-Sensors

– In this paper, we propose a method of data collection from different sensors through a software developed by Sensichips srl, SLM-Studio, which can then be compared with MLP machine learning models trained through training data available on the Sensichips website. The measurements performed by the SCW water sensors, the SCA air sensors and the SCP multispectral sensor 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.