Jenna Kline
@jennakline.bsky.social
PhD candidate @ The Ohio State University
autonomous systems | edge computing | robotics | animal ecology
I build autonomous aerial systems for ecology missions. 🚁🦓
https://jennamk14.github.io/
autonomous systems | edge computing | robotics | animal ecology
I build autonomous aerial systems for ecology missions. 🚁🦓
https://jennamk14.github.io/
SmartWilds is just the start! Future releases will add GPS tracks, citizen-science data, and multi-season coverage. Big thanks to our amazing team + funders: the Columbus Zoo and Aquarium & The Wilds, NSF ICICLE AI Institute, Imageomics Institute, and the AI & Biodiversity Change Global Center
November 25, 2025 at 4:19 PM
SmartWilds is just the start! Future releases will add GPS tracks, citizen-science data, and multi-season coverage. Big thanks to our amazing team + funders: the Columbus Zoo and Aquarium & The Wilds, NSF ICICLE AI Institute, Imageomics Institute, and the AI & Biodiversity Change Global Center
Paper: arxiv.org/abs/2509.18894
SmartWilds: Multimodal Wildlife Monitoring Dataset
We present the first release of SmartWilds, a multimodal wildlife monitoring dataset. SmartWilds is a synchronized collection of drone imagery, camera trap photographs and videos, and bioacoustic reco...
arxiv.org
November 25, 2025 at 4:19 PM
Paper: arxiv.org/abs/2509.18894
Dataset: huggingface.co/collections/...
SmartWilds - a imageomics Collection
Multi-modal ecological dataset collected at The Wilds during Summer 2025. Data sources include camera traps, bioacoustics, drones, and GPS tags.
huggingface.co
November 25, 2025 at 4:19 PM
Dataset: huggingface.co/collections/...
Our pilot covered 4 days across a 220-acre pasture, monitoring Pere David’s deer, Sichuan takin, Przewalski’s horses, and local Ohio wildlife. Each modality captures different ecological signals: land use, species detection, behavior, habitat change.
November 25, 2025 at 4:19 PM
Our pilot covered 4 days across a 220-acre pasture, monitoring Pere David’s deer, Sichuan takin, Przewalski’s horses, and local Ohio wildlife. Each modality captures different ecological signals: land use, species detection, behavior, habitat change.
August 29, 2025 at 3:57 PM
TL;DR: Analyze in place, record what matters, fly smarter.
Key takeaways:
• Plan for the model (altitude/speed/oblique).
• Do inference at the edge to triage events.
• Use video-native models for behavior (not just detection).
• Semi-autonomous flights standardize data & reduce disturbance.
Key takeaways:
• Plan for the model (altitude/speed/oblique).
• Do inference at the edge to triage events.
• Use video-native models for behavior (not just detection).
• Semi-autonomous flights standardize data & reduce disturbance.
August 29, 2025 at 3:57 PM
TL;DR: Analyze in place, record what matters, fly smarter.
Key takeaways:
• Plan for the model (altitude/speed/oblique).
• Do inference at the edge to triage events.
• Use video-native models for behavior (not just detection).
• Semi-autonomous flights standardize data & reduce disturbance.
Key takeaways:
• Plan for the model (altitude/speed/oblique).
• Do inference at the edge to triage events.
• Use video-native models for behavior (not just detection).
• Semi-autonomous flights standardize data & reduce disturbance.
If you’re experimenting with or curious about edge computing in wildlife conservation, this is the place to connect, collaborate, and learn.
Join us! 👉 wildlabs.net/groups/edge-...
Join us! 👉 wildlabs.net/groups/edge-...
Edge Computing | WILDLABS
This group unites those working at the intersection of edge AI and conservation, focusing on real-time, on-device data processing for environmental monitoring to facilitate sharing tools, models, and ...
wildlabs.net
August 20, 2025 at 2:22 PM
If you’re experimenting with or curious about edge computing in wildlife conservation, this is the place to connect, collaborate, and learn.
Join us! 👉 wildlabs.net/groups/edge-...
Join us! 👉 wildlabs.net/groups/edge-...
This dataset advances autonomous drone technology, enabling real-time wildlife tracking in varying habitats. Let's drive conservation with AI-powered insights.
Project page 👉 imageomics.github.io/mmla/
Paper 👉 arxiv.org/abs/2504.07744
Project page 👉 imageomics.github.io/mmla/
Paper 👉 arxiv.org/abs/2504.07744
MMLA: Multi-Environment, Multi-Species, Low-Altitude Aerial Footage Dataset
imageomics.github.io
June 6, 2025 at 6:08 PM
This dataset advances autonomous drone technology, enabling real-time wildlife tracking in varying habitats. Let's drive conservation with AI-powered insights.
Project page 👉 imageomics.github.io/mmla/
Paper 👉 arxiv.org/abs/2504.07744
Project page 👉 imageomics.github.io/mmla/
Paper 👉 arxiv.org/abs/2504.07744
MMLA captures the same species across diverse environments (Kenya & Ohio) to train drones for generalizable, autonomous animal ecology studies. 🦒🐾
Check out our poster and connect with me at #CV4Animals!
Check out our poster and connect with me at #CV4Animals!
June 6, 2025 at 6:08 PM
MMLA captures the same species across diverse environments (Kenya & Ohio) to train drones for generalizable, autonomous animal ecology studies. 🦒🐾
Check out our poster and connect with me at #CV4Animals!
Check out our poster and connect with me at #CV4Animals!
Find out more about the event here: climaterobotics.network/summit
Climate Robotics Network
Green Bots,
Blue Planet
climaterobotics.network
May 6, 2025 at 4:57 PM
Find out more about the event here: climaterobotics.network/summit
Apply here by May 1st: www.sdu.dk/da/uas/summe...
I attended last year and had an incredible experience! Learned a ton about drone hardware & computer vision, got hands-on flight experience, and worked with an amazing team!
I attended last year and had an incredible experience! Learned a ton about drone hardware & computer vision, got hands-on flight experience, and worked with an amazing team!
April 1, 2025 at 2:27 PM
Apply here by May 1st: www.sdu.dk/da/uas/summe...
I attended last year and had an incredible experience! Learned a ton about drone hardware & computer vision, got hands-on flight experience, and worked with an amazing team!
I attended last year and had an incredible experience! Learned a ton about drone hardware & computer vision, got hands-on flight experience, and worked with an amazing team!