The agreement with FACEPE - Fundação de Amparo à Ciência e Tecnologia de Pernambuco aims to support research among researchers from Pernambuco and São Paulo, on global climate change matters.
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Fundação de Amparo à Ciência e Tecnologia de Pernambuco (FACEPE)
- Fonds de Recherche du Québec (FRQ)
- Centro para el Desarrollo Tecnológico Industrial (CDTI)
- Comisión Nacional de Investigación Científica y Tecnológica (CONICYT)
- Danish Agency for Science and Higher Education
- Duke University
- Equinor (former Statoil)
- EU-CELAC IG (former ERA.Net - LAC)
- EU-LIFE
- Global Alliance for Chronic Diseases (GACD)
- Global Research Collaboration for Infectious Disease Preparedness (GloPID-R)
- Grupo São Martinho
- INCOBRA
- See more FAPESP Cooperation Partnerships and Agreements
Research grants
- Chicken egg quality prediction using ovoscopy, depth sensing, computed tomography, computer vision and machine learning, AP.R
Abstract
Artificial intelligence applied to machine learning can be used to optimize the evaluation of consumer eggs. The objective of this project will be to predict egg quality based on attributes related to eggshell and freshness using measurements obtained by candling, depth sensing and computed tomography, associated with computer vision and machine learning techniques. A total of 1,000 white…
- Integrated production of biodiesel and bioactive compounds from microalgae biomass employing ethanol plant wastewater, AP.BIOEN.R
Abstract
Diversifying the energy matrix for the development of a sustainable model represents an important strategy for the development of a country. Brazil is the second biggest bioethanol producer worldwide, generating high amount of CO2 and vinasse as byproducts. The vinasse may be treated by anaerobic bio-digestion, releasing CH4 (methane), which is considered a renewable energy in the emergin…
- IsoProb - geographical assignment systems of criminal traces based on spatial machine learning and isotopic modeling, AP.R
Abstract
It is expected that an efficient isotopic geographic origin attribution model (MIAR) is one that presents a structure based on (I) a geographically comprehensive and structured database, (II) that has as input base information that encompass local, global and spatially dependent variations, (III) that present isoscapes built both on more accurate "machine learning" (ML) techniques and tha…
- Microalgae-bacteria consortium: sustainable strategy for renewable energy production and tertiary treatment of sanitary wastewater, AP.R
Abstract
In Brazil, water supply and domestic sewage services account for approximately 2% of the electricity consumed in the country, and this consumption accounts for 15.4% of the sanitation sector's expenditure. Extreme climate events are becoming more frequent and they have globally driven the transition of the energy matrix to environmental-friendly options. The aim of the new wastewater trea…
- Origin and evolution of the avifauna at the highland forests in Northeastern Brazil: understanding the past connections between Amazon and Atlantic Forest, AP.R
Abstract
There are very few studies in northeastern Brazil, a region that is home to a variety of environments used to propose hypotheses and models of diversification, but have not had an empirical contribution to advance on these discussions, particularly with the contribution of molecular biology. In northeastern Brazil, forest refuges are result from processes of expansion and shrinkage of for…
(Only some records are available in English at this moment)
Total / Available in English
| 2 / 2 | Ongoing grants |
| 13 / 11 | Completed research grants |
| 7 / 0 | Completed scholarships in Brazil |
| 22 / 13 | All research grants and scholarships |
| Associated processes | |
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