2022 International Conference on Agri-photonics and Smart Agricultural Sensing Technologies (ICASAST 2022)
Prof. Tami M. Brown-Brandl

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Prof. Tami M. Brown-Brandl

University of Nebraska - Lincoln


Speech title:MSensor Systems for Precision Animal Management


Brief biography:

Dr. Brown-Brandl has research program that is focused on an engineering approach to improved animal well-being and production efficiency.  This is accomplished employing by several uniquely focus areas including: Precision Animal Management as a method of reducing animal stress and improving animal well-being by collecting and utilizing electronic data collected on individual animal, while being housed in typical industry sized pens.  Prediction of individual animal susceptibility to heat stress as a method of maximizing animal performance and well-being while minimizing the negative aspects associated with many heat stress interventions.  Calorimetry and animal energetics of cattle, sheep, and swine to evaluate both thermal and nutritional factors. Development of sensors and control systems to provide objective measurements of dynamic animal responses.  Forecasting feedlot cattle heat stress developed a web-based cattle heat stress forecast, and currently developing a smart phone application “app” get the forecast information to producers on the go.


Areas of Research and Professional Interest

Dr. Brown-Brandl has research program that is focused on an engineering approach to improved animal well-being and production efficiency.  This is accomplished employing by several uniquely focus areas including: Precision Animal Management as a method of reducing animal stress and improving animal well-being by collecting and utilizing electronic data collected on individual animal, while being housed in typical industry sized pens.  Prediction of individual animal susceptibility to heat stress as a method of maximizing animal performance and well-being while minimizing the negative aspects associated with many heat stress interventions.  Calorimetry and animal energetics of cattle, sheep, and swine to evaluate both thermal and nutritional factors. Development of sensors and control systems to provide objective measurements of dynamic animal responses.  Forecasting feedlot cattle heat stress developed a web-based cattle heat stress forecast, and currently developing a smart phone application “app” get the forecast information to producers on the go.


Abstract:

Sustainable animal production needs to consider many aspects, including environmental concerns, animal well-being, labor needs, worker safety and satisfaction, careful use of antibiotics, food safety, foreign animal disease, among others. New approaches for animal monitoring and care should be carefully considered to help satisfy these pressures and concerns. In-depth evaluations of current animal facilities identify new strategies for the management of animals.   Increases in computing power, sensor systems, and modeling techniques lend themselves to technological advancements in animal agriculture. Research has shown promising results for implementing technology. This presentation aims to provide an understanding of current and future technologies to help further discussion and develop creative solutions for sustainable animal production systems. Precision animal management systems use a variety of sensors to capture real-time data on individual animals (in larger species) and new modeling techniques to process the data into valuable information to aid management decisions. Current technologies used in precision animal management systems include sound, images, and radio frequency identification (RFID) systems. Steps to a successful system include 1) evaluating the needs of the producers and the animals, 2) selecting appropriate sensors, and 3) understanding both the value and the limitation of the captured data and the data processing. Examples of new research systems are illness detection, lameness, and condition scoring.