CV Lattes
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Universidade de São Paulo (USP). Escola Superior de Agricultura Luiz de Queiroz (ESALQ) (Institutional affiliation from the last research proposal) Birthplace: Brazil
I graduated in agricultural engineering from UFLa (1987). Master and Ph.D. in Agricultural Engineering from FEAGRI / UNICAMP (1992, 1998). Full Professor at the University of São Paulo (2022). Coordinator of NUPEA - Research Center for Ambience at USP since 1991. He has experience in the field of Agricultural Engineering, with emphasis on Rural Constructions and Ambience, acting mainly on the following themes: Animal Welfare, thermal comfort, and animal ambiance, with the use of livestock precision farm tools. Currently works with disruptive technologies in animal production with the insertion of artificial intelligence (AI) tools. He served as a technical-scientific director of SBEA (Brazilian Association of Agricultural Engineering, 1999-2007). Vice-President of the National Agricultural Engineering Association (1999-2003). From 2006 to 2011, he was President of the Brazilian Society of Biometeorology (SBBIOMET). He serves as a member of the editorial board of several magazines in the field of agricultural engineering, agronomy, and animal science. In 2014/2015, he was a visiting professor at the Center Campbell Study of Animal Welfare (CCSAW) at the Bioscience Department, University of Guelph, Canada. In 2016, he was considered one of the 100 most influential people in Brazilian poultry. He is currently a technical consultant to the Ministry of Agriculture in the area of #8203;#8203;animal welfare. He is the coordinator of the Brazilian Congress of Precision Animal Science, at AVESUI'2021. He acts as a speaker at several events in the area of #8203;#8203;animal production and technologies applied to production chains. (Source: Lattes Curriculum)
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This project is the result of cooperation between researchers in the areas of animal environment. Precision animal farming and animal welfare are associated with the development of products, services, and innovation, enabled by technologies aimed at digital agriculture within the agricultural value chain, emphasizing software and hardware that provide solutions and adjustments in the stag…
In tropical regions, due to solar light incidence, there is a higher potential of line production and also bigger problems to milk production. The most productive animals have the highest metabolic heat production due to more production of milk, being more vulnerable to thermal heat and its consequences on productivity and sanity. This work objective is to evaluate direct and indirect inf…
Future projections on global warming reveal an increase of up to 2°C in the temperature of the globe by the year 2050, combined with the increase in the food production demand due to the growing human population on the planet, which installs a paradox. In this case, it reinforces the need to carry out studies in order to understand the impact of climate on the thermoregulation physiology …
The aim of this study is to evaluate the locomotor system of broiler chickens raised in a controlled environment, using biomechanical techniques faccording to environmental enrichment throughout the production cycle. The research will be carried out in a climatic chamber at Animal Environment Research Nucleus in State of São Paulo. 120 one-day-old Cobb in 12 birds/m2 density will be used.…
The artificial incubation became decisive for the performance of poultry production. So, the control of all factors that surround this process is crucial for the embryonic development and, consequently, to obtain optimal responses of birth. The sound stimulus is also an influential agent in incubation, which motivates this research to investigate its action and define the effects on physi…
This study evaluates different housing systems for pregnant sows aiming to describe quantitative and qualitative aspects of environment, as well as variables that is effect on production system. The optimal conditions for animal performance improvement will be determined analyzing behavioral data took in breeding environment. Trial is carry out from in a farm specialized in industrial pro…
Machine learning is a field of artificial intelligence which has been gaining prominence, mainly in order to solve multifactorial problems such as animal adaptation, which involves thermoregulatory, morphological, hematological, immunological and productive responses. For the first time, it proposes to trace the adaptive profile, identify biomarkers of animal adaptation and investigate th…
| 1 / 1 | Ongoing grants |
| 19 / 3 | Completed research grants |
| 1 / 1 | Ongoing scholarships in Brazil |
| 14 / 3 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 36 / 9 | All research grants and scholarships |
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