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IoT--Based System for Real-time Monitoring and Insect Detection in Vineyards

Authors:

Sintija Stevanoska,

Elena M. Jovanovska,

Kosta MitreskiAuthors Info & Claims

MobiWac '20: Proceedings of the 18th ACM Symposium on Mobility Management and Wireless Access

Pages 133 - 136

https://doi.org/10.1145/3416012.3424634

Published: 16 November 2020 Publication History

Abstract

The Internet of Things (IoT) is a relatively new concept with a number of potential uses in agriculture. In this work we propose a system based on IoT for early detection of wine moth infestation, as well as monitoring the number of pests at a particular part of the season. This leads to optimization of the use of pesticides in the vineyards. The wine moths are caught using a pheromone trap with a camera attached to it. The camera is used for real-time monitoring of the trap. The output of the program is an image that indicates how many pests are currently caught on the trap. We have implemented a prototype in one of the vineyards in a Macedonian winery near Skopje City.

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Cited By

Chicaiza KParedes RSarzosa IYoo SZang N(2024)Smart Farming Technologies: A Methodological Overview and AnalysisIEEE Access10.1109/ACCESS.2024.348749712(164922-164941)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3487497
Pascoal DSilva NAdão TLopes RPeres EMorais R(2024)A technical survey on practical applications and guidelines for IoT sensors in precision agriculture and viticultureScientific Reports10.1038/s41598-024-80924-y14:1Online publication date: 30-Nov-2024
https://doi.org/10.1038/s41598-024-80924-y
Suthar OSinghal SKhatri Y(2024)IoT-Based Equinox Cooling Chamber Using Bolt IoT Module and Machine LearningData Science and Communication10.1007/978-981-99-5435-3_15(221-231)Online publication date: 3-Jan-2024
https://doi.org/10.1007/978-981-99-5435-3_15
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Published In

cover image ACM Conferences

MobiWac '20: Proceedings of the 18th ACM Symposium on Mobility Management and Wireless Access

November 2020

148 pages

ISBN:9781450381192

DOI:10.1145/3416012

General Chair:
Frank Y. Li
University of Agder, Norway
,
Program Chairs:
Albert Zomaya
The University of Sydney, Australia
,
Rodolfo W. L. Coutinho
The University of Sydney, Australia

Copyright © 2020 ACM.

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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SIGSIM: ACM Special Interest Group on Simulation and Modeling

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 November 2020

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MSWiM '20

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SIGSIM

MSWiM '20: 23rd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

November 16 - 20, 2020

Alicante, Spain

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Overall Acceptance Rate 83 of 272 submissions, 31%

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Cited By

Chicaiza KParedes RSarzosa IYoo SZang N(2024)Smart Farming Technologies: A Methodological Overview and AnalysisIEEE Access10.1109/ACCESS.2024.348749712(164922-164941)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3487497
Pascoal DSilva NAdão TLopes RPeres EMorais R(2024)A technical survey on practical applications and guidelines for IoT sensors in precision agriculture and viticultureScientific Reports10.1038/s41598-024-80924-y14:1Online publication date: 30-Nov-2024
https://doi.org/10.1038/s41598-024-80924-y
Suthar OSinghal SKhatri Y(2024)IoT-Based Equinox Cooling Chamber Using Bolt IoT Module and Machine LearningData Science and Communication10.1007/978-981-99-5435-3_15(221-231)Online publication date: 3-Jan-2024
https://doi.org/10.1007/978-981-99-5435-3_15
Li XHou BZhang RLiu Y(2023)A Review of RGB Image-Based Internet of Things in Smart AgricultureIEEE Sensors Journal10.1109/JSEN.2023.330977423:20(24107-24122)Online publication date: 15-Oct-2023
https://doi.org/10.1109/JSEN.2023.3309774
Torky MDahy GHassanien A(2023)Recognizing sounds of Red Palm Weevils (RPW) based on the VGGish model: Transfer learning methodologyComputers and Electronics in Agriculture10.1016/j.compag.2023.108079212(108079)Online publication date: Sep-2023
https://doi.org/10.1016/j.compag.2023.108079
Lello FDida MMkiramweni MMatiko JAkol RNsabagwa MKatumba A(2023)Fruit Fly Automatic Detection and Monitoring Techniques: A ReviewSmart Agricultural Technology10.1016/j.atech.2023.100294(100294)Online publication date: Jul-2023
https://doi.org/10.1016/j.atech.2023.100294
Mohammed MRiad KAlqahtani N(2022)Design of a Smart IoT-Based Control System for Remotely Managing Cold Storage FacilitiesSensors10.3390/s2213468022:13(4680)Online publication date: 21-Jun-2022
https://doi.org/10.3390/s22134680
Qian WCoutinho RChatzimisios PCoutinho RNotare M(2021)On the Design of Edge-Assisted Mobile IoT Augmented and Mixed Reality ApplicationsProceedings of the 17th ACM Symposium on QoS and Security for Wireless and Mobile Networks10.1145/3479242.3487326(131-136)Online publication date: 22-Nov-2021
https://dl.acm.org/doi/10.1145/3479242.3487326

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