Projekter pr. år
Abstract
Insects for food and feed is gaining traction because of high nutritional content. However, in
large scale rearing, harvesting and processing insects for food and feed is still a challenge
largely due to manual monitoring. Through the advances in technology, computing power
and communications, it is now possible to generate and analyze massive data in real time.
This lends itself to automation, remote sensing and relaying of massive data using Internet of
Things (IoT). Counting, measurements of insects and their traits, modelling which may result
into prediction can be successfully done using Machine Learning (ML). Image acquisition and
signal processing is made possible through the use of Computer Vision (CV) while the insect
content analysis is achieved through the use spectroscopy.
large scale rearing, harvesting and processing insects for food and feed is still a challenge
largely due to manual monitoring. Through the advances in technology, computing power
and communications, it is now possible to generate and analyze massive data in real time.
This lends itself to automation, remote sensing and relaying of massive data using Internet of
Things (IoT). Counting, measurements of insects and their traits, modelling which may result
into prediction can be successfully done using Machine Learning (ML). Image acquisition and
signal processing is made possible through the use of Computer Vision (CV) while the insect
content analysis is achieved through the use spectroscopy.
| Originalsprog | Engelsk |
|---|---|
| Publikationsdato | 2024 |
| Status | Udgivet - 2024 |
| Begivenhed | Insects for the Green Economy: Sustainable Food Systems and Livelihoods in Africa - The African Institute for Capacity Development (AICAD) at Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi, Kenya Varighed: 28 feb. 2024 → 29 feb. 2024 |
Konference
| Konference | Insects for the Green Economy: Sustainable Food Systems and Livelihoods in Africa |
|---|---|
| Lokation | The African Institute for Capacity Development (AICAD) at Jomo Kenyatta University of Agriculture and Technology (JKUAT) |
| Land/Område | Kenya |
| By | Nairobi |
| Periode | 28/02/2024 → 29/02/2024 |
Fingeraftryk
Dyk ned i forskningsemnerne om 'Application of emerging technologies in insect monitoring and rearing'. Sammen danner de et unikt fingeraftryk.Projekter
- 1 Igangværende
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Sustainable and efficient insect production for livestock feed through selective breeding (FLYgene)
Sahana, G. (PI), Gebreyesus, G. (CoPI), Nielsen, H. M. (Projektleder), Hansen, L. S. (Projektleder), Lund, M. S. (Deltager), Bjerge, K. (Deltager), Karstoft, H. (Deltager), Roos, N. (Deltager) & Geissmann, Q. (Deltager)
01/01/2022 → 31/12/2026
Projekter: Projekt › Forskning