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Insect biodiversity...
Insect biodiversity in agriculture using IoT : opportunities and needs for further research
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- Zapico, Jorge Luis (författare)
- Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM),ERES
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- Ahlgren, Fredrik, Senior Lecturer, 1980- (författare)
- Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM),ERES
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- Zennaro, Marco (författare)
- ICTP, Italy
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(creator_code:org_t)
- IEEE, 2022
- 2022
- Engelska.
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Ingår i: IEEE Global Communications Conference, 7-11 December 2021, Madrid, Spain. - : IEEE. - 9781665423908 - 9781665423915 ; , s. 1-5
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Recent research points out an alarming decline in insect biodiversity and biomass. Changing agriculture practices, together with climate change, are a main driver behind this decline. Biodiversity interventions in agriculture can therefore play an important role for insect conservation. Validating the impact of such interventions is limited by expertise and labor intensive methods, and there is a growing number of projects exploring how IoT could help. For instance using remote sensors to capture insect images and sound fingerprints non-intrusively, and machine learning models to automatically classify the obser- vation in different taxa. This article will: (a) explore recent advances in Internet of Things, Edge ML and LPWAN technologies and their application for monitoring insect biodiversity; (b) discuss opportunities, needs and ideas for validating the impact of biodiversity inter- ventions in agriculture using these technologies; and (c) outline future research opportunities.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)
Nyckelord
- Data- och informationsvetenskap
- Computer and Information Sciences Computer Science
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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