Enhancing the production efficiency, quality and safety of meat, milk, fiber, and other animal products can be greatly enhanced by employing digital technologies. Sensors on animals can enhance decisions related to managing animal health, improving comfort, and increasing production. Automation can help streamline repetitive processes and accomplish difficult tasks, saving costs and helping to reduce human error. Added insights of sensors, including image and video, can offer tailored intervention otherwise impractical in large-scale operations.
This USDA/NIFA funded summer experiential research program, hosted at Purdue University, is designed to equip participants with data science skills that complement their agricultural discipline knowledge. We will enable them to contribute to the rapidly developing research and practice of digital agriculture in a student-centered,…READ MORE
During the Spring 2021 semester, Purdue Agriculture hosted a weekly webinar series featuring experts in data science and digital agriculture at Purdue University. Each Thursday from February through May, the Data Driven Agriculture webinars explored ways digital agriculture and data science can impact agriculture today and into the future. “Building on the momentum of last…READ MORE
Mohit Verma, assistant professor of agricultural & biological engineering, and Aaron Ault, senior research engineer, from Purdue University recently presented as part of the Data Driven Agriculture webinar series. Bovine respiratory disease is prevalent and costly, leading to losses of almost $1 billion in the U.S. annually. Verma and Ault share how we can improve…READ MORE