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Tech4Nature MEXICO

THE ROAD TO TECH4NATURE MEXICO'S PHASE 2

READ OUR REPORT!

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Nestled in the heart of the Yucatán Peninsula, the Dzilam State Reserve is a biodiversity hotspot. Enter Tech4Nature Mexico, the result of a collaboration between tech experts, conservationists, and local communities. This project is all about using AI for good – monitoring, understanding, and safeguarding biodiversity like never before.

Tech4Nature Mexico showcases a unique blend of community-driven methodologies, machine learning techniques, and multi-sector partnerships. This project underscores the significance of responsible and ethical development of advanced technologies, ensuring proactive mitigation of social and environmental risks.

Access the webinar The Road to Tech4Nature Mexico Phase 2 to meet the people and learn the stories behind the project, and don't miss our newly launched report which not only presents the methodology and achievements of this initiative, but also the opportunities and strategies to scale and replicate initiatives like these that leverage AI systems for conservation.

OUR INITIATIVE

Tech4Nature Mexico aims to accelerate the effective conservation and regeneration of biodiversity and ecosystem health by strengthening the monitoring, conservation, and understanding of the effects of climate change on priority ecosystems and species in the mangrove zone of the Yucatan Peninsula. 

 

This is achieved by employing the power of community-centered approaches, AI systems, and multi-sectoral collaborations in the Dzilam de Bravo reserve.

OUR ACTIONS

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Biodiverisity Monitoring

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Regional CNNs for species detection and identification

Image by Luca Bravo

AI Ethics Protocols

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Data-informed conservation actions

THE RESERVE

Our mission at Tech4Nature centers on understanding, preserving and restoring the Dzilam State Reserve to provide a secure sanctuary for a rich variety of plant and animal species.

Nestled in the northeastern region of Yucatan, the Dzilam State Reserve is a natural protected area with over 69,000 hectares that belongs to the municipalities of Dzilam de Bravo and San Felipe.

This reserve holds a special status as a critical wetland conservation site, boasting nearly 290 species of fauna intricately linked with over 300 flora species. It spans five distinct vegetation types, including coastal dunes, mangroves, petenes, along with vibrant aquatic flora in coastal lagoons. 

HIGHLIGHTED RESULTS

+80,000
IMAGES

Analyzed with the 

ModelArts AI platform from Huawei Cloud

+600,000
AUDIO RECORDINGS

  Analyzed with the 

Arbimon AI platform, from Rainforest Connection

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+120 SPECIES IDENTIFIED

These species are part of a Convolutional Neural Network (CNN) for automatic identification

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7 JAGUARS
IDENTIFIED

Automatically identified and validated by experts

OUR IMPACT

LOCAL IMPACT

  • The monitoring algorithms provided valuable information that validated the presence of threatened species in the Reserve in a way never before verified.

  • The data provided tools to strengthen knowledge of the biodiversity in the area and local involvement to reinforce conservation.

  • Forged a powerful alliance between the automatic jaguar identification model and esteemed biologists specializing in jaguar studies.

  • Human threats are and will continue to be reduced thanks to the continuous monitoring and presence of authorities in the area, strengthening the protection of jaguars in the area.

  • Local partners and the local community have been trained in the use of these technologies for the protection of nature.

INTERNATIONAL IMPACT

  • The information generated is supporting the process of including the Reserve in the IUCN Green List of Protected and Conserved Areas.

  • Inputs for the replicability of AI tools and resources for the protection of biodiversity for Latin America were generated.

  • Creation of recommendations for good practices in the ethical use of AI for conservation.

  • Pilot positioning as an international case study.

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IMG_6620 (1)

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THE BIODIVERSITY

Watch, listen, and see the biodiversity of the Dzilam de Bravo reserve!

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Crax curios
Ocelote Closer
Ocelote ears
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DIGITAL COMPONENTS

PROGRAMME EXPLAINABILITY, TRANSPARENCY, INCLUSIVENESS​​, AND OTHER PRINCIPLES

AI Ethics is at the core of this project. Based on UNESCO's Recommendation on AI Ethics  (in which C Minds' founder had the role of leading the Environmental chapter), geographic locations and other sensitive information is protected. 

If you are a scientist and need access for scientific research and conservation purposes only, please email the project's data governance committee at regina@cminds.co

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PATTERN-MATCHING ALGORITHMS FOR SPECIES IDENTIFICATION THROUGH SOUND

Audio analysis model through Airbimon, an audio analysis platform developed by Rainforest Connection (RFCx), to identify, classify and create patterns of biodiversity in Dzilam.