Analog Pyroelectric Infrared Sensor for Non-Invasive Beehive Monitoring DOI
H.M. Aumann, Antony Aumann

IEEE Sensors, Journal Year: 2023, Volume and Issue: unknown, P. 1 - 4

Published: Oct. 29, 2023

Honeybees flying in front of a beehive were observed by the unconventional use an analog output pyroelectric infrared (PIR) sensor. A microprocessor calculated temperature-corrected variance sensor's voltage to quantify bee activity level. Sensor data transmitted via WiFi link Internet-of-Things (IoT) platform for remote real-time monitoring and analysis. The technique was sufficiently sensitive detect individual bees, swarming, robbing, other intrusive apiary events. sensor performance equivalent considerably more expensive radar, vibration, or video systems.

Language: Английский

BHiveSense: An integrated information system architecture for sustainable remote monitoring and management of apiaries based on IoT and microservices DOI Creative Commons

Duarte Cota,

José Martins, Henrique São Mamede

et al.

Journal of Open Innovation Technology Market and Complexity, Journal Year: 2023, Volume and Issue: 9(3), P. 100110 - 100110

Published: Aug. 4, 2023

Precision Beekeeping, a field of Agriculture, is an apiary management strategy based on monitoring honeybee colonies to promote more sustainable resource usage and maximise productivity. The approach related Beekeeping methodologies mitigate the stress associated with human intervention in waste resources. These goals are achieved by supporting managing beekeeper's timely appropriate action at colony's level. In recent years, growth IoT (Internet-of-Things) Agriculture has spurred several proposals contribute paradigm built different technical concepts production costs. This work proposes describes information systems architecture concept named BHiveSense, microservices, artefacts demonstrate its concept: (1) low-cost COTS (Commercial Off-The-Shelf) hive sensing prototype, (2) REST backend API, (3) Web application, (4) Mobile application. project delivers solution for integrated beekeeping activity. Our stresses that adopting microservices architecture, it possible deal long-standing problems concerning interoperability, scalability, agility, maintenance issues, delivering efficient beehive system.

Language: Английский

Citations

13

European beekeepers’ interest in digital monitoring technology adoption for improved beehive management DOI Creative Commons
Wim Verbeke, Mariam Amadou Diallo, Coby van Dooremalen

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 227, P. 109556 - 109556

Published: Oct. 29, 2024

Language: Английский

Citations

4

Diseño e implementación IoT para temperatura en un proceso de aclimatación de semilla de palma DOI Creative Commons
Javier Eduardo Martínez Baquero,

Angie Marcela Angie Marcela Idrobo Yunda,

Shirlie Andrea Castro Rico

et al.

Revista de Ingeniería Matemáticas y Ciencias de la Información, Journal Year: 2025, Volume and Issue: 12(23)

Published: March 3, 2025

Este artículo presenta el diseño e implementación de un sistema prototipo IoT para la variable temperatura en proceso aclimatación semillas palma. Inicialmente se realiza actualización del hardware con instalación IoT2040, así como software a versión 16 TIA PORTAL®, posteriormente efectúa codificación Node-Red las variables los valores máximos, mínimos y promedios cada cuarto, esto hace objetivo visualizar mediante UBIDOTS proceso. De igual forma envió reporte diario Gmail una notificación por alarma Telegram, su vez menú opciones comportamiento control alarmas medio Telegram obteniendo completa optimización proceso, cual permite supervisar, registrar, controlar sistema, demostrando importancia que tiene aplicaciones sector agrícola.

Citations

0

Bioinspired small language models in edge systems for bee colony monitoring and control DOI Creative Commons
J. V., Diana M. Giraldo, Sebastián Lozano

et al.

Internet of Things, Journal Year: 2025, Volume and Issue: unknown, P. 101633 - 101633

Published: May 1, 2025

Language: Английский

Citations

0

LEI: Livestock Event Information schema for enabling data sharing DOI Creative Commons
Mahir Habib, Muhammad Ashad Kabir, Lihong Zheng

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 220, P. 108874 - 108874

Published: April 9, 2024

Data-driven advances have resulted in significant improvements dairy production. However, the meat industry has lagged behind adopting data-driven approaches, underscoring crucial need for data standardisation to facilitate seamless transmission maximise productivity, save costs, and increase market access. To address this gap, we propose a novel schema, Livestock Event Information (LEI) designed accurately uniformly record livestock events. LEI complies with International Committee Animal Recording (ICAR) Integrity System Company (ISC) schemas deliver enable sharing between producers consumers. validate superiority of LEI, conducted structural metrics analysis comprehensive case study. The demonstrated that outperforms ICAR ISC terms design, while study confirmed its superior ability capture event information. Our findings lay foundation implementation unlocking potential management. Moreover, LEI's versatility opens avenues future expansion into other agricultural domains, encompassing poultry, fisheries, crops. adoption promises substantial benefits, including improved accuracy, reduced increased heralding new era sustainability industry.

Language: Английский

Citations

2

Development and implementation of a raspberry Pi-based IoT system for real-time performance monitoring of an instrumented tractor DOI Creative Commons
Vijay Mahore, P. Soni, Prakhar Patidar

et al.

Smart Agricultural Technology, Journal Year: 2024, Volume and Issue: 9, P. 100530 - 100530

Published: Aug. 8, 2024

Language: Английский

Citations

2

Services Orchestration at the Edge and in the Cloud for Energy-Aware Precision Beekeeping Systems DOI

Hugo Hadjur,

Doreid Ammar,

Laurent Lefèvre

et al.

2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Journal Year: 2023, Volume and Issue: unknown, P. 769 - 776

Published: May 1, 2023

Precision Beekeeping systems collect data on colonies of bees using sensors to assist beekeepers and preserve bees. The collection, transfer, processing such are energy-intensive processes. However, most work under a limited energy budget.This article focuses the placement AI-based energy-aware services at edge in cloud. We deploy set smart beehives as devices order conduct experiments real data. Then, we simulate large-scale with embedded services. Our results show that parameters like number beehives, frequency different losses impact these enhance efficiency.

Language: Английский

Citations

4

Beehive Smart Detector Device for the Detection of Critical Conditions That Utilize Edge Device Computations and Deep Learning Inferences DOI Creative Commons
Sotirios Kontogiannis

Sensors, Journal Year: 2024, Volume and Issue: 24(16), P. 5444 - 5444

Published: Aug. 22, 2024

This paper presents a new edge detection process implemented in an embedded IoT device called Bee Smart Detection node to detect catastrophic apiary events. Such events include swarming, queen loss, and the of Colony Collapse Disorder (CCD) conditions. Two deep learning sub-processes are used for this purpose. The first uses fuzzy multi-layered neural network variable depths fuzzy-stranded-NN CCD conditions based on temperature humidity measurements inside beehive. second utilizes CNN model swarming loss cases sound recordings. proposed processes have been into autonomous devices that transmit their results cloud over Wi-Fi. BeeSD tested easy-to-use functionality, operation, inference accuracy, execution speeds. author experimental detecting critical models loss. From presented results, stranded-NN achieved accuracy up 95%, while ResNet-50 99% or ResNet-18 is also fastest speed replacement model, achieving 93% results. Finally, cross-comparison with machine ones shows can provide at least 3–5% better

Language: Английский

Citations

1

Exploring the Potential of Microservices in Internet of Things: A Systematic Review of Security and Prospects DOI Creative Commons
Abir El Akhdar, Chafik Baidada, Ali Kartit

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(20), P. 6771 - 6771

Published: Oct. 21, 2024

With the rapid growth of Internet Things (IoT) systems, ensuring robust security measures has become paramount. Microservices Architecture (MSA) emerged as a promising approach for enhancing IoT systems security, yet its adoption in this context lacks comprehensive analysis. This systematic review addresses research gap by examining incorporation MSA from 2010 to 2024. From an initial pool 4388 studies, selected articles underwent thorough quality assessment with weighted critical appraisal questions and defined inclusion threshold. study represents first investigate potential microservices IoT, particular focus on aspects. The explores merits MSA, highlighting twelve benefits, eight key challenges, risks. Additionally, best practices implementing are extracted. findings underscore MSA's utility fortifying while also acknowledging complexities vulnerabilities. Moreover, calls attention importance incorporating complementary technologies including blockchain machine learning address identified gaps effectively. Finally, we propose taxonomic classification Microservice-based patterns, facilitating categorization organization context. Such can help researchers practitioners identify existing gaps, highlight directions, provide guidelines designing secure efficient microservice-based systems.

Language: Английский

Citations

1

The Use of Products with a Monitoring System for Remote Bee Detection in Beekeeping in Czechia DOI Open Access
Lucie Kaňovská

Agris on-line Papers in Economics and Informatics, Journal Year: 2024, Volume and Issue: 16(1), P. 67 - 81

Published: March 28, 2024

The use of modern technology is becoming part both industry and agriculture. These technologies can also be used in beekeeping, where they help to monitor the operation hive remotely. Beekeepers remotely weight their hives, temperature, humidity, other parameters. aim this paper map beekeepers products with monitoring system for remote bee detection beekeeping Czechia. To issue, qualitative research using semi-structured interviews was conducted beekeepers, manufacturers/providers smart devices entities involved beekeeping. findings showed that interest manufacturers sellers offer these significant, but rather less, due e.g., purchase price, weaker IT knowledge, traditional practices, higher age joy being personally bees. novelty not look at provision ICT from a technical perspective, perspective users (beekeepers) technologies. Through as well others apiculture sphere, comprehensive view issue developed. Moreover, first piece on area

Language: Английский

Citations

0