short-paper

The Makers' Beehives: Smart Beehives for Monitoring Honey-Bees' Activities

Authors:

Doreid Ammar,

Jean Savinien,

Lionel RadissonAuthors Info & Claims

IoT '19: Proceedings of the 9th International Conference on the Internet of Things

Article No.: 16, Pages 1 - 4

https://doi.org/10.1145/3365871.3365887

Published: 22 October 2019 Publication History

Get Access

Abstract

Honey-bees play an important role in a range of human activities, such as medicine, nutrition, agriculture, and much more. The most vital activity of bees is pollination. Bees and other pollinating insects are on the brink of extinction, mainly due to intensive agriculture, pesticides, habitat loss, pollution, and climate change. This worrisome decline in the population of bees threatens agricultural, and human welfare. Therefore, protecting the population of bees is a major concern. In this perspective, the Makers' Beehives project aims at developing an innovative beekeeping system capable of automatically assessing the health and threat status of honey-bees' colonies by means of Internet of things (IoT) and Artificial Intelligence (AI). In this paper, we describe the developed system and report preliminary results.

References

[1]

Marcelo A. Aizen and Lawrence D. Harder. 2009. The Global Stock of Domesticated Honey Bees Is Growing Slower Than Agricultural Demand for Pollination. Current Biology 19, 11 (2009), 915--918. https://doi.org/10.1016/j.cub.2009.03.071

Crossref

Google Scholar

[2]

Stefania Cecchi, Alessandro Terenzi, Simone Orcioni, Paola Riolo, Sara Ruschioni, and Nunzio Isidoro. 2018. A Preliminary Study of Sounds Emitted by Honey Bees in a Beehive. In Audio Engineering Society Convention 144. http://www.aes.org/e-lib/browse.cfm?elib=19498

Google Scholar

[3]

Fiona Edwards-Murphy, Michele Magno, Pádraig M. Whelan, John O'Halloran, and Emanuel M. Popovici. 2016. b+WSN: Smart beehive with preliminary decision tree analysis for agriculture and honey bee health monitoring. Computers and Electronics in Agriculture 124 (2016), 211--219. https://doi.org/10.1016/j.compag.2016.04.008

Digital Library

Google Scholar

[4]

Sandra Dáz et al. 2019. Summary for policymakers of the global assessment report on biodiversity and ecosystem services of the Intergovernmental Sciencea -- Policy Platform on Biodiversity and Ecosystem Service. Available at: https://bit.ly/2Jg5XY1.

Google Scholar

[5]

S. Ferrari, M. Silva, M. Guarino, and D. Berckmans. 2008. Monitoring of swarming sounds in bee hives for early detection of the swarming period. Computers and Electronics in Agriculture 64, 1 (2008), 72--77. https://doi.org/10.1016/j.compag.2008.05.010 Smart Sensors in precision livestock farming.

Digital Library

Google Scholar

[6]

Food and Agriculture Organisation of the United Nations. 2009. Global agriculture towards 2050. Rome: Food and Agriculture Organization of the United Nations.

Google Scholar

[7]

Food and Agriculture Organisation of the United Nations. 2016. The power of pollinators: why more bees means better food. Available at: http://www.fao.org/zhc/detail-events/en/c/428504/.

Google Scholar

[8]

Food and Agriculture Organisation of the United Nations. 2018. Why bees matter: The importance of bees and other pollinators for food and agriculture. Available at: http://www.fao.org/3/i9527en/i9527en.pdf.

Google Scholar

[9]

Inês Nolasco, Alessandro Terenzi, Stefania Cecchi, Simone Orcioni, Helen L. Bear, and Emmanouil Benetos. 2018. Audio-based identification of beehive states. CoRR abs/1811.06330 (2018). arXiv:1811.06330

Google Scholar

Cited By

View all

Wakkary ROogjes DSakib NBehzad A(2023)Turner Boxes and Bees: From Ambivalence to DiffractionProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3596081(790-807)Online publication date: 10-Jul-2023
https://dl.acm.org/doi/10.1145/3563657.3596081
Doggett OBronson KSoden R(2023)HCI Research on Agriculture: Competing Sociotechnical Imaginaries, Definitions, and OpportunitiesProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581081(1-24)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581081
Cejrowski TSzymański J(2022)Detection of anomalies in bee colony using transitioning state and contrastive autoencodersComputers and Electronics in Agriculture10.1016/j.compag.2022.107207200(107207)Online publication date: Sep-2022
https://doi.org/10.1016/j.compag.2022.107207
Show More Cited By

Index Terms

The Makers' Beehives: Smart Beehives for Monitoring Honey-Bees' Activities
1. Applied computing
  1. Computers in other domains
    1. Agriculture
2. Computing methodologies
  1. Artificial intelligence
  2. Machine learning

Recommendations

Smart and sustainable agriculture: Fundamentals, enabling technologies, and future directions
Abstract
Agriculture is an important sector that plays a key role in the economic growth of countries. Innovative agricultural advancements has undoubtedly supported the expansion of the capacity and efficiency of different agricultural activities. ...
Pest incidence forecasting based on Internet of Things and Long Short-Term Memory Network
Abstract
The infestation of litchi stink bugs (Tessaratoma papillosa) has always had a significant impact on the yield of longan plantations. Pest control is critical for farmers to detect and timely suppress the occurrence of pests while ...
Highlights
- The population of litchi stink bugs increase under suitable temperature, humidity, and sunlight.
Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence
Highlights
- A smart sprayer for precision pest management was developed.
- This low-cost ...
Abstract
Most conventional sprayers apply agrochemicals uniformly, despite the fact that distribution of weeds is typically patchy, resulting in wastage of valuable compounds, increased costs, crop damage risk, pest resistance to chemicals, ...

Comments

Information & Contributors

Information

Published In

IoT '19: Proceedings of the 9th International Conference on the Internet of Things

October 2019

263 pages

ISBN:9781450372077

DOI:10.1145/3365871

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 October 2019

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Short-paper
Research
Refereed limited

Conference

IoT 2019

IoT 2019: 9th International Conference on the Internet of Things

October 22 - 25, 2019

Bilbao, Spain

Acceptance Rates

IoT '19 Paper Acceptance Rate 28 of 84 submissions, 33%;

Overall Acceptance Rate 28 of 84 submissions, 33%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

5
Total Citations
View Citations
267
Total Downloads

Downloads (Last 12 months)47
Downloads (Last 6 weeks)5

Reflects downloads up to 25 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Wakkary ROogjes DSakib NBehzad A(2023)Turner Boxes and Bees: From Ambivalence to DiffractionProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3596081(790-807)Online publication date: 10-Jul-2023
https://dl.acm.org/doi/10.1145/3563657.3596081
Doggett OBronson KSoden R(2023)HCI Research on Agriculture: Competing Sociotechnical Imaginaries, Definitions, and OpportunitiesProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581081(1-24)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581081
Cejrowski TSzymański J(2022)Detection of anomalies in bee colony using transitioning state and contrastive autoencodersComputers and Electronics in Agriculture10.1016/j.compag.2022.107207200(107207)Online publication date: Sep-2022
https://doi.org/10.1016/j.compag.2022.107207
Hadjur HAmmar DLefèvre L(2022)Toward an intelligent and efficient beehiveComputers and Electronics in Agriculture10.1016/j.compag.2021.106604192:COnline publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1016/j.compag.2021.106604
Hadjur HAmmar DLefèvre LDavidsson PLangheinrich M(2020)Analysis of energy consumption in a precision beekeeping systemProceedings of the 10th International Conference on the Internet of Things10.1145/3410992.3411010(1-8)Online publication date: 6-Oct-2020
https://dl.acm.org/doi/10.1145/3410992.3411010

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Smart and sustainable agriculture: Fundamentals, enabling technologies, and future directions

Pest incidence forecasting based on Internet of Things and Long Short-Term Memory Network

Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence

Comments

Published In

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Other Metrics

Article Metrics

Other Metrics

Cited By

Login options

Full Access

PDF

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Smart and sustainable agriculture: Fundamentals, enabling technologies, and future directions

Pest incidence forecasting based on Internet of Things and Long Short-Term Memory Network

Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence

Comments

Information

Published In

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Get Access

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations