Wireless technologies for smart agricultural monitoring using internet of things devices with energy harvesting capabilities

Sadowski, Sebastian; Spachos, Petros

doi:10.1016/j.compag.2020.105338

Cited by 119 publications

(44 citation statements)

References 31 publications

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“… Germani et al (2019) demonstrated the use of LoRa networking to continuously monitor cattle located in barns and in pasture. Sadowski and Spachos (2020) , comparing performance of between loT devices, conclude that LoRa has the optimal technology to be used in an agricultural monitoring system.…”

Section: Methodsmentioning

confidence: 98%

A LoRa sensor network for monitoring pastured livestock location and activity1

Reis

Easton

White

et al. 2021

Translational Animal Science

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Precision technologies for confinement animal agricultural systems have increased rapidly over the past decade, though precision technology solutions for pastured livestock remain limited. There are a number of reasons for this limited expansion of technologies for pastured animals, including networking availability and reliability, power requirements, and expense, among others. The objective of this work was to demonstrate a rapidly deployable long-range radio (LoRa) based, low-cost sensor suite that can be used to track location and activity of pastured livestock. The sensor is comprised of an inexpensive Arduino-compatible microprocessor, a generic MPU-9250 motion sensor which contains a 3-axis accelerometer, 3 -axis magnetometer, and a 3-axis gyroscope, a generic GPS receiver, and a RFM95W generic LoRa radio. The microprocessor can be programmed flexibly using the open source Arduino IDE software to adjust the frequency of sampling, the data packet to send, and what conditions are needed to operate. The LoRa radio transmits to a Dragino LoRa gateway which can also be flexibly programmed through the Arduino IDE software to send data to local storage or, in cases where a web or cellular connection is available, to cloud storage. The sensor was powered using a USB cord connected to a 3350 mAh lithium-ion battery pack. The Dragino gateway was programmed to upload data to the ThingSpeak IoT application programming interface for data storage, handling, and visualization. Evaluations showed minimal benefit associated with reducing sampling frequency as a strategy to preserve battery life. Packet loss ranged from 40 to 60%. In a 3 day evaluation on pastured sheep, the sensor suite was able to report GPS locations, inertial sensor readings, and temperature. Preliminary demonstrations of our system are satisfactory to detect animal location based on GPS data in real-time. This system has clear utility as a lower-cost strategy to deploy flexible, useful precision technologies for pasture-based livestock species.

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Section: Methodsmentioning

confidence: 98%

A LoRa sensor network for monitoring pastured livestock location and activity1

Reis

Easton

White

et al. 2021

Translational Animal Science

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“…At present, the IoT has recently attracted scholarly attention and been widely used to many fields. For example, remote monitoring of crops with long-range wireless local area network (LoRaWAN) in the agricultural field [23], data collection and platform construction of medical big data in the medical field [24], real-time positioning and route reminding with the automobile electronic identification and radio frequency identification (RFID) in the field of intelligent transportation [25]. In the field of communication management, the IoT has gradually been applied to the precise monitoring and real-time alarm of the communication manhole cover.…”

Section: Related Workmentioning

confidence: 99%

Alarm Method of Communication Intelligent Manhole Cover Based on Multiple Event Fusion

Guo

et al. 2021

Preprint

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Communication intelligent manhole cover (CIMC) can effectively, accurately and in real time monitor the status change of communication manhole cover and helps protect the safety of communication pipeline and the comprehensive utilization of pipeline resources. The traditional monitoring method often leads to frequent false alarms due to the complex working environment of manhole cover and the random error of sensor. In terms of the equipment status signals generated by the CIMC terminal, a new alarm method of CIMC with multiple event fusion in this paper via jointing analysis of multi-sensor status signals is proposed on the basis of abnormal alarm events definition. The experimental result shows that the proposed CIMC alarm method by means of multiple sensor signals in this paper can not only make up for the defect that it is difficult to fully reflect the real state of manhole cover by a single sensor, but also reduces the false alarm rate caused by the random error of sensor and CIMC system. It has better practicability for the intelligent management of manhole cover and be conducive to the construction of intelligent transportation and smart city.

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“…Thus, IoT has been achieving a prominent role in agriculture. Both the quality and quantity of production in the agricultural industry have been maximized through IoT [94], such as crop yield and efficiency [95]. IoT technologies, such as smart sensor networks, cameras, weather stations and smartphone applications can improve data collection from crops and decisionmaking for smart farm management [96].…”

Section: Internet Of Things (Iot)mentioning

confidence: 99%

Agriculture 4.0 and Smart Sensors. The Scientific Evolution of Digital Agriculture: Challenges and Opportunities

Mk¹,

LdS²,

Cr³

et al. 2021

Preprint

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: The agriculture sector is one of the backbones of many countries’ economies and its processes have been changing in order to enable technological adoption to increase productivity, quality, and sustainable development. In this research, we present a theoretical reflection through a scientific mapping of the adoption of precision techniques and breakthrough technologies in agriculture, the so-called Precision Agriculture (PA) and Agriculture 4.0 (A4.0). To do this, we used 4,694 documents from the Web of Science database to perform a Bibliometric Performance and Network Analysis (BPNA) of the literature with the support of the PICOC protocol and the SciMAT software. Our findings present 22 strategic themes related to Digital Agriculture (DA) such as Internet of Things (IoT) and Climate-smart Agriculture (CSA) among others, and the thematic network structures of the motor themes and the thematic evolution structure of the field of the study over time. In addition, our results discuss the main challenges and opportunities of DA. Our findings have the potential to provide insights for practitioners and researchers in decision-making and pave the way for future works.

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Wireless technologies for smart agricultural monitoring using internet of things devices with energy harvesting capabilities

Cited by 119 publications

References 31 publications

A LoRa sensor network for monitoring pastured livestock location and activity1

A LoRa sensor network for monitoring pastured livestock location and activity1

Alarm Method of Communication Intelligent Manhole Cover Based on Multiple Event Fusion

Agriculture 4.0 and Smart Sensors. The Scientific Evolution of Digital Agriculture: Challenges and Opportunities

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