Geolocation and monitoring platform for extensive farming in mountain pastures

Llaria, Alvaro; Terrasson, Guillaume; Arregui, Harbil; Hacala, A.

doi:10.1109/icit.2015.7125454

Cited by 27 publications

(24 citation statements)

References 27 publications

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“…The rationale behind this array of technologies lies in the requirement of choosing the most suitable connectivity type for the scenario to monitor, which depends on its size and the availability of an Internet Access Point (AP). For example, an IoT system deployed on open fields or devoted to animal localization normally needs to rely on long-range power efficient technologies (namely LPWANs), such as LoRaWAN [27], SigFox (e.g., for cow geo-localization [28]) and Narrowband IoT (NB-IoT) [29].…”

Section: Related Workmentioning

confidence: 99%

LoRaFarM: A LoRaWAN-Based Smart Farming Modular IoT Architecture

Codeluppi

Cilfone

Davoli

et al. 2020

Sensors

137

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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.

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Section: Related Workmentioning

confidence: 99%

LoRaFarM: A LoRaWAN-Based Smart Farming Modular IoT Architecture

Codeluppi

Cilfone

Davoli

et al. 2020

Sensors

137

View full text Add to dashboard Cite

show abstract

“…SigFox is a new technology used in IoT applications. In [17], a geolocation system was developed to locate herds of cattle. As advantages of the SigFox technology, we can highlight its wide range of coverage and low consumption, which makes it very appropriate for IoT solutions.…”

Section: Wireless Sensor Network In the Context Of Smart Agriculturementioning

confidence: 99%

An Autonomous Wireless Device for Real-Time Monitoring of Water Needs

Borrero

Zabalo

2020

Sensors

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The agri-food sector is in constantly renewing, continuously demanding new systems that facilitate farmers´ work. Efficient agricultural practices are essential to increasing farm profitability, and reducing water consumption can be achieved by real-time monitoring of water needs. However, the prices of automatic systems for collecting data from several sources (soil and climate) are expensive and their autonomy is very low. This paper presents a low-consumption solution using the Internet of Things (IoT) based on wireless sensor networks (WSNs) and long-range wide-area network (LoRaWAN) technologies. By means of low-power wide-area network (LPWAN) communication, a farmer can monitor the state of crops in real time thanks to a large number of sensors connected wirelessly and distributed across the farm. The wireless sensor node developed, called BoXmote, exhibits very low power, since it has been optimized both in terms of hardware and software. The result is a higher degree of autonomy than commercial motes. This will allow the farmer to have access to all of the information necessary to achieve an efficient irrigation management of his crops with full autonomy.

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“…A novel hybrid architecture [77] for monitoring whooping cranes, an endangered species, uses global infrastructure (cellular networks) during their annual migration of 4,000 km, and a short range, ad-hoc networks in breeding and nesting [64], [74], [68], [65], [67], [71] Accelerometer sensor…”

Section: A Trackingmentioning

confidence: 99%

Smart Computing and Sensing Technologies for Animal Welfare

2017

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Animals play a profoundly important and intricate role in our lives today. Dogs have been human companions for thousands of years, but they now work closely with us to assist the disabled, and in combat and search and rescue situations. Farm animals are a critical part of the global food supply chain, and there is increasing consumer interest in organically fed and humanely raised livestock, and how it impacts our health and environmental footprint. Wild animals are threatened with extinction by human induced factors, and shrinking and compromised habitat. This review sets the goal to systematically survey the existing literature in smart computing and sensing technologies for domestic, farm and wild animal welfare. We use the notion of animal welfare in broad terms, to review the technologies for assessing whether animals are healthy, free of pain and suffering, and also positively stimulated in their environment. Also the notion of smart computing and sensing is used in broad terms, to refer to computing and sensing systems that are not isolated but interconnected with communication networks, and capable of remote data collection, processing, exchange and analysis. We review smart technologies for domestic animals, indoor and outdoor animal farming, as well as animals in the wild and zoos. The findings of this review are expected to motivate future research and contribute to data, information and communication management as well as policy for animal welfare.

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Geolocation and monitoring platform for extensive farming in mountain pastures

Cited by 27 publications

References 27 publications

LoRaFarM: A LoRaWAN-Based Smart Farming Modular IoT Architecture

LoRaFarM: A LoRaWAN-Based Smart Farming Modular IoT Architecture

An Autonomous Wireless Device for Real-Time Monitoring of Water Needs

Smart Computing and Sensing Technologies for Animal Welfare

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