Progress 01/01/21 to 12/05/22
Outputs
Target Audience:Students and faculty in Agriculture and Life Sciences Changes/Problems:
Nothing Reported
What opportunities for training and professional development has the project provided?There were about 100 participants (online + face-to-face). The "Opportunities and limitations of modeling and data analytics for precision livestock farming" was ranked #1. Comments from participants were: Great job! Thank you for planning and executing this great workshop! The hands on learning almost required you to have previous knowledge or have downloaded the programs prior to; however, this was never expressed leading for them to be difficult to follow along on a virtual platform. Happy to have the conference via virtual format to allow scientists to participate in person and remotely. Quite wonderful work! Would also love to get to meet the other professionals in person. Perhaps, in the future, scheduling the conference through 2/3 days (morning sessions) could allow more people to join. How have the results been disseminated to communities of interest?animalnutrition.org website What do you plan to do during the next reporting period to accomplish the goals?
Nothing Reported
Impacts
What was accomplished under these goals?
We were able to conduct two (2) pre-conferences at the ASAS annual meetings in 2021 and 2022.
Publications
- Type:
Journal Articles
Status:
Published
Year Published:
2022
Citation:
ASASNANP Symposium: Mathematical Modeling in Animal Nutrition: Opportunities and challenges of confined and extensive precision livestock production. Hector M Menendez, III, Jameson R Brennan, Charlotte Gaillard, Krista Ehlert, Jaelyn Quintana. Journal of Animal Science, Volume 100, Issue 6, June 2022, skac160, https://doi.org/10.1093/jas/skac160
- Type:
Journal Articles
Status:
Published
Year Published:
2022
Citation:
ASAS-NANP symposium: mathematical modeling in animal nutrition: limitations and potential next steps for modeling and modelers in the animal sciences. Marc Jacobs, Aline Remus, Charlotte Gaillard, Hector M Menendez, III, Luis O Tedeschi. Journal of Animal Science, Volume 100, Issue 6, June 2022, skac132, https://doi.org/10.1093/jas/skac132
- Type:
Journal Articles
Status:
Published
Year Published:
2022
Citation:
ASAS-NANP symposium: mathematical modeling in animal nutrition: the progression of data analytics and artificial intelligence in support of sustainable development in animal science. Luis O Tedeschi. Journal of Animal Science, Volume 100, Issue 6, June 2022, skac111, https://doi.org/10.1093/jas/skac111
- Type:
Journal Articles
Status:
Published
Year Published:
2021
Citation:
" Advancements in sensor technology and decision support intelligent tools to assist smart livestock farming. Luis O Tedeschi, Paul L Greenwood, Ilan Halachmi. Journal of Animal Science, Volume 99, Issue 2, February 2021, skab038, https://doi.org/10.1093/jas/skab038
- Type:
Journal Articles
Status:
Published
Year Published:
2021
Citation:
ASAS-NANP SYMPOSIUM: Review of systems thinking concepts and their potential value in animal science research. Emma C Stephens. Journal of Animal Science, Volume 99, Issue 2, February 2021, skab021, https://doi.org/10.1093/jas/skab021
- Type:
Journal Articles
Status:
Published
Year Published:
2021
Citation:
ASAS-NANP symposium: digestion kinetics in pigs: the next step in feed evaluation and a ready-to-use modeling exercise. Walter J J Gerrits, Marijke T A Schop, Sonja de Vries, Jan Dijkstra. Journal of Animal Science, Volume 99, Issue 2, February 2021, skab020, https://doi.org/10.1093/jas/skab020
- Type:
Journal Articles
Status:
Published
Year Published:
2021
Citation:
ASAS-NANP SYMPOSIUM: Applications of machine learning for livestock body weight prediction from digital images. Zhuoyi Wang, Saeed Shadpour, Esther Chan, Vanessa Rotondo, Katharine M Wood. Journal of Animal Science, Volume 99, Issue 2, February 2021, skab022, https://doi.org/10.1093/jas/skab022
- Type:
Journal Articles
Status:
Published
Year Published:
2021
Citation:
ASAS-NANP SYMPOSIUM: prospects for interactive and dynamic graphics in the era of data-rich animal science. Gota Morota, Hao Cheng, Dianne Cook, Emi Tanaka. Journal of Animal Science, Volume 99, Issue 2, February 2021, skaa402, https://doi.org/10.1093/jas/skaa402
- Type:
Journal Articles
Status:
Published
Year Published:
2021
Citation:
ASAS-NANP SYMPOSIUM: Mathematical modeling in animal nutrition: training the future generation in data and predictive analytics for sustainable development. A Summary. Luis O Tedeschi, Dominique P Bureau, Peter R Ferket, Nathalie L Trottier. Journal of Animal Science, Volume 99, Issue 2, February 2021, skab023, https://doi.org/10.1093/jas/skab023
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Progress 01/01/21 to 12/31/21
Outputs
Target Audience:Students and faculty in Agriculture and Life Sciences Changes/Problems:
Nothing Reported
What opportunities for training and professional development has the project provided?There were about 100 participants (online + face-to-face). The "Opportunities and limitations of modeling and data analytics for precision livestock farming" was ranked #1. Comments from participants were: Great job! Thank you for planning and executing this great workshop! The hands on learning almost required you to have previous knowledge or have downloaded the programs prior to; however, this was never expressed leading for them to be difficult to follow along on a virtual platform. Happy to have the conference via virtual format to allow scientists to participate in person and remotely. Quite wonderful work! Would also love to get to meet the other professionals in person. Perhaps, in the future, scheduling the conference through 2/3 days (morning sessions) could allow more people to join. How have the results been disseminated to communities of interest?Through the animalnutrition.org website. What do you plan to do during the next reporting period to accomplish the goals?Conduct an advanced workshop to complement this one.
Impacts
What was accomplished under these goals?
Conducted the 2021 Pre-Conference at the Americal Society of Animal Science in Louisville, KY (face-to-face and online). The agenda is shown below: 8:50 8:55 Remarks: welcome, agenda, speakers, sponsors Luis Tedeschi, Chair Texas A&M University 8:55 9:35 1. Opportunities and Limitations of Modeling and Data Analytics for Precision Livestock Farming Aline Remus Agriculture and Agri-Food Canada 9:35 10:15 2. Application of Precisions Sensor Technologies, Real-Time Data Analytics, and Dynamic Models on Extensive Western Rangeland Grazing Systems Hector Menendez South Dakota State University 10:15 10:25 Coffee break 10:25 11:05 3. How modeling/AI can help with the data analytics of sensors from PLF Suresh Neethirajan FarmWorx 11:05 11:45 4. Potential of AI on improving animal feed manufacturing/milling Marc Jacobs Trouw Nutrition 11:45 12:15 5. Round-Table Discussions and Updates Luis Tedeschi Texas A&M University 12:15 13:05 Lunch 13:05 13:45 6. Integrating mechanistic models with AI for precision feeding of sows Charlotte Gaillard INRAE 13:45 14:25 7. EnROADS - Overview of climate change modeling Charles Jones Climate Interactive 14:25 14:40 Round-Table (Q&A) 14:40 15:40 8. Hands-on Interactive Visualization of Agricultural Science Data using R Shiny Gota Morota Virginia Tech University 15:40 15:55 Coffee break 15:55 16:55 9.Hands-on machine learning models with Weka Dan Tulpan University of Guelph 16:55 17:00 Adjourn Luis Tedeschi, Chair Texas A&M University 17:00 17:00
Publications
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