top of page
Tech4Nature.png

Tech4Nature Mexico

Strengthening the conservation of biodiversity in Yucatan

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.

20230504_103557.jpg

OUR ACTIONS

WhatsApp Image 2022-06-20 at 1.33.25 PM(1).jpeg

On-site monitoring system

WhatsApp Image 2022-06-20 at 1.33.26 PM(1).jpeg

Data

collection

Image by Luca Bravo

AI detection and identification

Jaguar (Panthera onca.JPG

Identification of individuals of jaguars

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

Sin título (1920 x 1920 px).png

+120 SPECIES IDENTIFIED

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

Diseño sin título (2).png

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.

REGIONAL IMPACT

  • Generation of inputs for the creation and strengthening of AI tools and resources for biodiversity protection in Latin America.

  • The data and insights derived from the Tech4Nature Mexico project carry profound regional implications.
     

IMG_6620 (1)

IMG_6620 (1)

implementacion-programa-busca-promover-soluciones

implementacion-programa-busca-promover-soluciones

IMG_4271

IMG_4271

c34a21d7-a898-4f41-8f2f-f8243a4c6430

c34a21d7-a898-4f41-8f2f-f8243a4c6430

1683843972543

1683843972543

WhatsApp Image 2023-07-11 at 6.38.24 PM

WhatsApp Image 2023-07-11 at 6.38.24 PM

20230803_162523

20230803_162523

20230803_184528

20230803_184528

07F401D4-526C-4A47-A67F-3D8CE63D7AE7

07F401D4-526C-4A47-A67F-3D8CE63D7AE7

WhatsApp Image 2022-05-08 at 8.57.38 PM (3)

WhatsApp Image 2022-05-08 at 8.57.38 PM (3)

IMG_7048

IMG_7048

WhatsApp Image 2022-06-20 at 1.33.58 PM

WhatsApp Image 2022-06-20 at 1.33.58 PM

WhatsApp Image 2022-06-20 at 1.33.26 PM

WhatsApp Image 2022-06-20 at 1.33.26 PM

WhatsApp Image 2022-06-20 at 1.33.25 PM(2)

WhatsApp Image 2022-06-20 at 1.33.25 PM(2)

WhatsApp Image 2022-08-31 at 2.14.52 PM

WhatsApp Image 2022-08-31 at 2.14.52 PM

THE BIODIVERSITY

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

DIGITAL COMPONENTS

PROGRAMME EXPLAINABILITY AND TRANSPARENCY​​

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

ARBIMON_RCFx.min-680x400.png

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.

image6.png

IMAGE RECOGNITION ALGORITHMS FOR JAGUARS’ DETECTION AND IDENTIFICATION

Development of Convolutional Neural Networks to label images by the (non)presence of a jaguar, detect its location within an image, and determine jaguar individuality across multiple images.

OUR TEAM

Meet the driving force behind Tech4Nature! 

Our talented and passionate team is committed to preserving the environment and bringing diverse expertise to make a real impact.

 

Get acquainted with the faces behind our conservation efforts.