Precision Beekeeping Systems: State of the Art, Pros and Cons, and Their Application as Tools for Advancing the Beekeeping Sector

Animals, Journal Year: 2023, Volume and Issue: 14(1), P. 70 - 70

Published: Dec. 24, 2023

The present review aims to summarize the more recent scientific literature and updated state of art on research effort spent in adapting hardware–software tools understand true needs honeybee colonies as a prerequisite for any sustainable management practice. A SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis was also performed with aim identifying key factors that could support or impair diffusion precision beekeeping (PB) systems. Honeybee husbandry, beekeeping, is starting approach livestock farming (PLF), has already happened other animal husbandry sectors. transition from current paradigm rational thus expected. However, due peculiarities this species related practices, PB technological systems (PB systems) are still undergoing development process that, some extent, limits their large-scale practical application. Several physical–chemical (weight, temperature, humidity, sound, gases) behavioral traits (flight activity, swarming) hive reviewed light evolution sensors, communication systems, data approaches. These advanced sensors equipped microprocessor records sends it remote server processing. In way, through Wireless Sensor Network (WSN) system, beekeeper, using specific applications personal computer, tablet, smartphone, can have all above-mentioned parameters under control. general, weight, humidity main monitored by commercial sensors. Surprisingly, flight activity rarely available an option modular marketed via web. highlights promising strength points represent great opportunities beekeeping; however, they weaknesses, represented especially high purchasing costs low preparedness addressed operators, imply possible threats terms unrealistic perception apiary status if applied hives only adverse impact honeybees’ colony itself. Even expected take place next few years, indubitably, success will be measured return investment, conditioned benefits (higher yields, better colonies’ health) beekeeper appraise consequence use.

Language: Английский

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Internet of Things Smart Beehive Network: Homogeneous Data, Modeling, and Forecasting the Honey Robbing Phenomenon

Inventions, Journal Year: 2025, Volume and Issue: 10(2), P. 23 - 23

Published: March 3, 2025

The role of experimental data and the use IoT-based monitoring systems are gaining broader significance in research on bees across several aspects: as global pollinators, biosensors, examples swarm intelligence. This increases demands to obtain homogeneous, continuous, standardized data, which can be used for machine learning, enabling models trained new online data. However, continuous operation introduces risks, particularly cumulative impact electromagnetic radiation their behavior. highlights need balance IoT energy consumption, functionality, monitoring. We present a novel bee system architecture that has been operating continuously years, using solar only. negative fields is minimized, while ensuring homogeneous collection. obtained adverse phenomenon honey robbing, involves elements demonstrate how this predicted illustrate interactions between colonies influence radiation. criteria detecting robbing will help reduce spread diseases positively contribute sustainable development precision beekeeping.

Language: Английский

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BeeLive: The IoT platform of Beemon monitoring and alerting system for beehives

Smart Agricultural Technology, Journal Year: 2023, Volume and Issue: 6, P. 100331 - 100331

Published: Oct. 4, 2023

Monitoring honey beehives is mainly done manually by beekeepers to evaluate the health of their hives and determine growth yield. With emergence Internet Things (IoT) devices tools, there have been some efforts in recent years automate such monitoring. This can significantly benefit as they obtain critical data insight into hives' performance more regularly. In this paper, we use IoT Thingsboard dashboard track status 28 installed Western region North Carolina part Appalachian Multi-Apiary Informatics System (AppMAIS) project. order acquire from a beehive, humidity temperature sensors, well microphone, placed inside hives. addition, video camera has at top hive's entrance recordings bees entering leaving hives, scale under hive report weight. The collected sensors peripherals each AppMAIS are sent for management visualization. on our success with Thingboard tool monitor take advantage capabilities interact needed adjust operational parameters.

Language: Английский

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UrBAN: Urban Beehive Acoustics and PheNotyping Dataset

Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)

Published: March 31, 2025

In this paper, we present a multimodal dataset obtained from honey bee colony in Montréal, Quebec, Canada, spanning the years of 2021 to 2022. This apiary comprised 10 beehives, with microphones recording more than 3000 hours high quality raw audio, and also sensors capturing temperature, humidity. Periodic hive inspections involved monitoring population changes, assessing queen-related conditions, documenting overall health. Additionally, health metrics, such as Varroa mite infestation rates winter mortality assessments were recorded, offering valuable insights into factors affecting status resilience. study, first outline data collection process, sensor description, structure. Furthermore, demonstrate practical application by extracting various features audio predict using number frames bees proxy.

Language: Английский

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Sistema IOT de monitoramento de Colmeias de Abelhas Apis Mellifera

Published: Sept. 11, 2024

A adoção da Internet das Coisas (IoT) no setor apícola é crucial para enfrentar os desafios contemporâneos produção de mel. Este artigo apresenta um sistema monitoramento colmeias abelhas Apis Mellifera, operando em apiários sertão cearense. Utilizando sensores temperatura, umidade, peso e sensor magnético, o transmite dados tempo real via tecnologia LoRa. Os testes mostraram resultados promissores, reduzindo visitas ao apiário uma melhor gestão do mesmo pelo apicultor. O projeto desenvolvido conjunto com apicultores região que permite maior proximidade reais necessidades a aplicação deve ter, sendo assim possível ser implementado produtores

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Discussion on the Application of Computer Information Management Technology in the Internet

Advances in Computer Signals and Systems, Journal Year: 2024, Volume and Issue: 8(1)

Published: Jan. 1, 2024

In the era of information, data is heralded as new petroleum, serving cornerstone modern societal advancement. The technology tasked with managing this invaluable asset, namely Computer Information Management Technology, has become backbone that upholds information society. It universally acknowledged being intangible, pervades every facet human activity vast an ocean smoke or minute particles dust, surreptitiously. Within surges internet, it evolves boundlessly, presenting infinite possibilities. This progression exacts fresh demands on technology; be storage, processing, transmission, all must evolve in stride times. Against backdrop, exploration how Technology can exert its influence within web not only crucial for technological advancement but also serves a catalyst overall development

Language: Английский

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Enabling Robust Sensor Network Design with Data Processing and Optimization Making use of Local Beehive Image and Video Files

Published: Feb. 24, 2024

There is an immediate need for creative ways to improve resource efficiency given the dynamic nature of robust sensor networks and their increasing reliance on data-driven approaches. One key challenge faced efficiently managing large data files collected from example optimal beehive image video files. We offer a revolutionary paradigm that uses cutting-edge edge computing techniques optimize transmission storage in order meet this problem. Our approach encompasses compression images videos, coupled with aggregation technique numerical data. Specifically, we propose novel algorithm performs better than traditional Bzip2, terms ratio throughput. also designed as addition basically very well by reducing time process overhead individual packets there network traffic. A aspect our its ability operate resource-constrained environments, such typically found local farm application where obtained various datasets. To achieve this, carefully explore parameters throughput, delay tolerance, rate, retransmission. This ensures can unique requirements management while minimizing impact resources. Overall, study presents majorly focuses holistic solution optimizing processing across specifically has potential significantly effectiveness management, thereby supporting sustainable practices IoT applications Bee Hive Data Management.

Language: Английский

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Microservices for Asset Tracking Based on Indoor Positioning System

International Journal of Computing and Digital Systems, Journal Year: 2024, Volume and Issue: 15(1), P. 861 - 873

Published: May 14, 2024

Indoor positioning systems (IPS) are widely used for different use cases, but most of them asset tracking and indoor navigation.Asset tracking, instance, might help industries be more efficient, such as warehouses, stock recording, guest trackers, many more.Implementation needs to have the IPS, trilateration fingerprinting.To an accurate location, it is not just precise; data that will consumed also robust services process all in almost real time.Bluetooth low energy (BLE) send received signal strength indicator (RSSI) microservices-based server.To support this, microservices architecture (MSA) designed with a Service-Oriented Modeling Architecture (SOMA) framework translate business goals into necessary services.We were implementing comparing both MSA implementation strategies, which orchestration choreography on cloud computing Kubernetes platform.These strategies compared find resource-efficient biggest number served requests.The bigger request number, assets tracked time.Less resource usage could mean computational cost inexpensive.The study finds strategy better IPS since requests five times higher similar usage.

Language: Английский

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Remote Monitoring of Bee Apiaries as a Tool for Crisis Management

AgriEngineering, Journal Year: 2024, Volume and Issue: 6(3), P. 2269 - 2282

Published: July 17, 2024

Apiculture has presented significant growth in the last decades Europe and worldwide. According to Food Agriculture Organization (FAO), there were 25.1 million bee colonies 2021, with most of them being located southeastern countries. Smart technologies have invaded almost every pillar agriculture, including apiculture. Modern apiculture is rather more nomadic than sedentary. Nomadism beekeeping requires monitoring settlement colonies, one place per year, order select honey pollen contribute overall bees. To this scope, it efficient monitor wide control bees remotely, parallel other smart applications, prevent crises that would affect survival and/or yield production. The objectives paper are outline a series automation systems used as means towards optimization apiary management processes. Four beekeepers’ case studies demonstrate how sensors communication transfer multiple bee-related data from various locations single system. methodology was based on input/output evaluation, risk prioritization real data, feedback beekeeper potential risks. Based results, risks related bad weather conditions, varroa mites, colony health. Furthermore, able optimize whole management, operations, strategic planning throughout year. Last, should be noted remote system will never substitute necessity traditional visits, but contributes minimizing monitored daily data.

Language: Английский

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Apis Insight for Phenotype Classification and Hive Health Forecasting using IoT and Deep Learning

Published: April 18, 2024

Language: Английский

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