Literature DB >> 32260338

LoRaFarM: A LoRaWAN-Based Smart Farming Modular IoT Architecture.

Gaia Codeluppi1, Antonio Cilfone1, Luca Davoli1, Gianluigi Ferrari1.   

Abstract

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.

Entities:  

Keywords:  IEEE 802.11; Internet of Things; LoRaWAN; Smart Agriculture; Smart Farms; WSN; heterogeneous networks; multi-protocol gateway

Year:  2020        PMID: 32260338     DOI: 10.3390/s20072028

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  4 in total

1.  Metrology for Agriculture and Forestry 2019.

Authors:  Giovanni Battista Chirico; Francesco Bonavolontà
Journal:  Sensors (Basel)       Date:  2020-06-21       Impact factor: 3.576

2.  Practical Experiences of a Smart Livestock Location Monitoring System Leveraging GNSS, LoRaWAN and Cloud Services.

Authors:  Mike O Ojo; Irene Viola; Mario Baratta; Stefano Giordano
Journal:  Sensors (Basel)       Date:  2021-12-30       Impact factor: 3.576

3.  Real-Time Environmental Monitoring for Aquaculture Using a LoRaWAN-Based IoT Sensor Network.

Authors:  Harvey Bates; Matthew Pierce; Allen Benter
Journal:  Sensors (Basel)       Date:  2021-11-29       Impact factor: 3.576

4.  A Systematic Review of IoT Solutions for Smart Farming.

Authors:  Emerson Navarro; Nuno Costa; António Pereira
Journal:  Sensors (Basel)       Date:  2020-07-29       Impact factor: 3.576

  4 in total

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