Autonomous IoT Monitoring Matching Spectral Artificial Light Manipulation for Horticulture

Autonomous IoT Monitoring Matching Spectral Artificial Light Manipulation for Horticulture

Blog Article

This paper aims at demonstrating the energy self-sufficiency of a LoRaWAN-based sensor node for monitoring environmental parameters exploiting energy harvesting directly coming from the artificial light used in indoor horticulture.A portable polycrystalline silicon module is used to charge a Li-Po battery, employed as the power reserve of a wireless sensor node able to accurately monitor, with a 1-h period, both the physical quantities most relevant for the application, i.e., humidity, temperature and pressure, and the chemical quantities, i.e.

, O2 and CO2 concentrations.To this aim, the node also hosts a power-hungry NDIR sensor.Two programmable light sources were Guard used to emulate the actual lighting conditions of greenhouses, and to prove the effectiveness of the designed autonomous system: a LED-based custom designed solar simulator and a commercial LED light especially thought for plant cultivation purposes in greenhouses.Different lighting conditions used in indoor horticulture to enhance different plant growth phases, obtained as combinations of blue, red, far-red and white spectra, were tested by field tests of the sensor node.The energy self-sufficiency of the system was demonstrated by monitoring the charging/discharging trend of the Li-Po battery.

Best results are obtained when white artificial light is mixed with 8 Pin Wire Harness the far-red component, closest to the polycrystalline silicon spectral response peak.