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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

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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.

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Cited By

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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
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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

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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]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 October 2019

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Short-paper
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Refereed limited

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IoT 2019

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

October 22 - 25, 2019

Bilbao, Spain

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

Overall Acceptance Rate 28 of 84 submissions, 33%

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Cited By

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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

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