Next Article in Journal
Development of a 3D Anthropomorphic Phantom Generator for Microwave Imaging Applications of the Head and Neck Region
Next Article in Special Issue
UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture
Previous Article in Journal
Wireless Sensors System for Stress Detection by Means of ECG and EDA Acquisition
Previous Article in Special Issue
Application of A Precision Apiculture System to Monitor Honey Daily Production
Open AccessEditor’s ChoiceArticle

LoRaFarM: A LoRaWAN-Based Smart Farming Modular IoT Architecture

Internet of Things (IoT) Lab, Department of Engineering and Architecture, University of Parma, Parco Area delle Scienze, 181/A, 43124 Parma, Italy
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(7), 2028; https://doi.org/10.3390/s20072028
Received: 15 March 2020 / Revised: 30 March 2020 / Accepted: 30 March 2020 / Published: 4 April 2020
(This article belongs to the Special Issue Metrology for Agriculture and Forestry 2019)
Presently, the adoption of Internet of Things (IoT)-related technologies in the Smart Farming domain is rapidly emerging. The ultimate goal is to collect, monitor, and effectively employ relevant data for agricultural processes, with the purpose of achieving an optimized and more environmentally sustainable agriculture. In this paper, a low-cost, modular, and Long-Range Wide-Area Network (LoRaWAN)-based IoT platform, denoted as “LoRaWAN-based Smart Farming Modular IoT Architecture” (LoRaFarM), and aimed at improving the management of generic farms in a highly customizable way, is presented. The platform, built around a core middleware, is easily extensible with ad-hoc low-level modules (feeding the middleware with data coming from the sensors deployed in the farm) or high-level modules (providing advanced functionalities to the farmer). The proposed platform has been evaluated in a real farm in Italy, collecting environmental data (air/soil temperature and humidity) related to the growth of farm products (namely grapes and greenhouse vegetables) over a period of three months. A web-based visualization tool for the collected data is also presented, to validate the LoRaFarM architecture. View Full-Text
Keywords: Internet of Things; Smart Agriculture; Smart Farms; IEEE 802.11; LoRaWAN; WSN; multi-protocol gateway; heterogeneous networks Internet of Things; Smart Agriculture; Smart Farms; IEEE 802.11; LoRaWAN; WSN; multi-protocol gateway; heterogeneous networks
Show Figures

Figure 1

MDPI and ACS Style

Codeluppi, G.; Cilfone, A.; Davoli, L.; Ferrari, G. LoRaFarM: A LoRaWAN-Based Smart Farming Modular IoT Architecture. Sensors 2020, 20, 2028. https://doi.org/10.3390/s20072028

AMA Style

Codeluppi G, Cilfone A, Davoli L, Ferrari G. LoRaFarM: A LoRaWAN-Based Smart Farming Modular IoT Architecture. Sensors. 2020; 20(7):2028. https://doi.org/10.3390/s20072028

Chicago/Turabian Style

Codeluppi, Gaia; Cilfone, Antonio; Davoli, Luca; Ferrari, Gianluigi. 2020. "LoRaFarM: A LoRaWAN-Based Smart Farming Modular IoT Architecture" Sensors 20, no. 7: 2028. https://doi.org/10.3390/s20072028

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop