"๐๐ฉ๐ข๐ณ๐ช๐ฏ๐จ, ๐ช๐ฏ๐ต๐ฆ๐จ๐ณ๐ข๐ต๐ช๐ฏ๐จ ๐ข๐ฏ๐ฅ ๐ฆ๐น๐ต๐ณ๐ข๐ค๐ต๐ช๐ฏ๐จ ๐ท๐ข๐ญ๐ถ๐ข๐ฃ๐ญ๐ฆ ๐ช๐ฏ๐ง๐ฐ๐ณ๐ฎ๐ข๐ต๐ช๐ฐ๐ฏ ๐ง๐ณ๐ฐ๐ฎ ๐ด๐ธ๐ช๐ฏ๐ฆ ๐ช๐ฏ๐ฅ๐ถ๐ด๐ต๐ณ๐บ ๐ฅ๐ข๐ต๐ข ๐ช๐ด ๐ข ๐ฃ๐ช๐จ ๐ค๐ฉ๐ข๐ญ๐ญ๐ฆ๐ฏ๐จ๐ฆ ๐ต๐ฐ๐ฅ๐ข๐บ." - ๐๐ฟ. ๐๐๐ถ๐น๐ต๐ฒ๐ฟ๐บ๐ฒ ๐ฅ๐ผ๐๐ฎ
๐ช๐ต๐ฎ๐ ๐๐ผ๐ ๐๐ถ๐น๐น ๐น๐ฒ๐ฎ๐ฟ๐ป:
1. Challenges incorporating precision technology
2. Inputs and outputs on big data
3. Amount of data needed
4. Types of information
5. Small producers and big data
6. Next steps
๐ ๐ฒ๐ฒ๐ ๐๐ต๐ฒ ๐ด๐๐ฒ๐๐: Guilherme Rosa obtained an M.S. in Animal Sciences from Sao Paulo State University (UNESP) – Brazil in 1994, and a Ph.D. in Statistics and Agricultural Experimentation from the University of Sao Paulo (USP) – Brazil in 1998. Guilherme Rosa started his professional career as a faculty member of the Department of Biostatistics at UNESP (1994-2001), then moved to the USA as a faculty member at Michigan State University (2002-2006), and is currently a Professor at the Department of Animal and Dairy Sciences at the University of Wisconsin-Madison (since 2006), with an affiliate appointment at the Department of Biostatistics & Medical Informatics.
๐๐ถ๐๐๐ฒ๐ป ๐ผ๐ป ๐๐ฝ๐ฝ๐น๐ฒ ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐๐, ๐ฆ๐ฝ๐ผ๐๐ถ๐ณ๐ ๐ผ๐ฟ ๐ฎ๐ป๐ ๐บ๐ฎ๐ท๐ผ๐ฟ ๐ฝ๐น๐ฎ๐๐ณ๐ผ๐ฟ๐บ.
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