Description
A bio-positive food production system requires a balanced interplay of pest and prey, for a successful production system. However, quantifying the impact of a bio-diverse ecosystem on pest management and farm production is a major challenge in ecological farming systems. The main issue is the measurement of biodiversity. It is often too time-consuming, too expensive, or both. In the last decade, automated ecoaccoustic surveying has emerged as a relevant technology for large-scale monitoring of natural as well as urban habitats. The automatization of such systems would yield continuous and inexpensive data, allowing actions to be adjusted on a micro-temporal scale. For that matter machine learning, including deep learning, is being increasingly applied to acoustic data, to automatically identify a range of sounds, from different bird species, to amphibians, grasshoppers, and humans. This seminar was organized to bring together researchers from Wageningen University and Research, NIOOW, and Universidad Federal da Viçosa to share their research and future perspectives.SEMINAR: Exploring nature-positive food production landscapes
09h00 Opening
09h10 Leonardo Lopes (Federal University of Viçosa)
“Long-term studies in the Neotropics: a short story about birds”
09h40 Lessando Gontijo (Federal University of Viçosa)
“Stop and listen to those songs: using ecoacoustics to estimate birds’ contribution to natural pest control in sustainable agriculture.”
10h00 Coffee-break
10h10 Aneesh Chauhan (WUR – Vision and Roobtics)
“Measuring biodiversity with vision and sounds”
10h40 Dan Rustia – Guest Speaker (WUR – Vision and Robotics)
“Enabling sustainable pest management through edge computing and AI”
11h00 Coffee-break
11h10 Filipe Cunha –(WUR – Behavioural Ecology)
“Takes two to tango: making collaborations possible probable”
11h30 Mieke de Wit (WUR – Wildcard Biodiversity Coordination)
Closing Remarks
| Period | 5 Dec 2023 |
|---|---|
| Event type | Conference/symposium |
| Location | Wageningen, NetherlandsShow on map |