Bioverse Labs - data to enhance local communities' agricultural and energy practices
{"type": "project", "title": "Bioverse Labs - data to enhance local communities' agricultural and energy practices", "logoImg": "bafkreidrr4vianshig77f6gfchsy6kgen67fftucr7tpfni5my4dkjg26i", "website": "https://www.bioverselabs.com", "bannerImg": "bafybeibz2pmkjp75pyhimi7nujnw6lkjtx7ly5kaeczp7efgj3ub246cwu", "createdAt": 1670560310777, "credentials": {}, "description": "Brazil's Bioverse Labs uses satellite & drone imagery paired with machine learning to access data that enhance local communities' agricultural and energy practices. In the Trombetas River basin, in the Para State of Northern Brazil, multispectral drone imagery and machine learning are utilized in tandem to track economically viable, non-timber species of trees (e.g., chestnut, copaiba, and Brazil nuts). In doing so, they seek to empower indigenous communities in the sustainable management, harvesting, and preservation of their natural resources while supplementing traditional modes of income generation in this region and cultivating local prosperity. First, Bioverse captured multispectral, high-resolution satellite imagery for a detailed picture of the forest canopy, and then they took high-resolution canopy images with drones. Lastly, they built a mobile application that provides in-hand Forest Abundance Maps to local communities using the data collected. Throughout this process, they've identified over 19,240 trees and completed machine learning training for brazil nuts and palm trees, with a 97% accuracy on ML models for the detection of Brazil Nut Trees. They work with locals to create an accompanying sustainable agro-forestry management plan and make their technology open source to maximize its potential reach and impact. The project was originally formed in 2017 during a Google- and NASA-sponsored Global Solutions Program at Singularity University. In the coming years, they intend to expand the application of their solutions to sustainable agriculture, invasive species detection and monitoring the environmental health of urban areas.", "logoImgData": {}, "bannerImgData": {}, "projectGithub": "Bioverse-Labs", "projectTwitter": "BioverseLabs"}