Paper Info
Title
Autonomous IoT Monitoring Matching Spectral Artificial Light Manipulation for Horticulture
Abstract
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., O-2 and CO2 concentrations. To this aim, the node also hosts a power-hungry NDIR sensor. Two programmable light sources were 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 the far-red component, closest to the polycrystalline silicon spectral response peak.
Year
DOI
Venue
2022
10.3390/s22114046
SENSORS
Keywords
DocType
Volume
photovoltaic, solar cells, energy harvesting, LoRaWAN, IoT, horticulture, renewable energy, environmental safeguard
Journal
22
Issue
ISSN
Citations 
11
1424-8220
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Irene Cappelli100.34
Ada Fort246378.26
Alessandro Pozzebon34216.63
Marco Tani400.68
Nicola Trivellin5259.39
Valerio Vignoli614341.90
Mara Bruzzi700.68