Using robotic operations to accomplish repetitive or difficult tasks in biological systems can reduce production expenses, enhance consistency, and free humans to accomplish other duties.  Examples include machine weeding around plants, robotic milking of dairy cows, robots that harvest nuts, fruits, and vegetables, or automation of implement control such as section controllers on sprayers, boom height, tillage implement depth, combine threshing/cleaning settings, and navigation.

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Data Driven Agriculture Webinar Series

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…


Machines and Robotics

John Evans, assistant professor of agricultural and biological engineering, and David Cappelleri, associate professor of mechanical engineering, at Purdue University recently presented as part of the Data Driven Agriculture webinar series. Cappelleri discussed the new NSF Engineering Research Center on the Internet of Things for Precision Agriculture (IoT4Ag).  IoT4Ag researchers will work in three interconnected…


Key Terms

CORS (network)

Continuously Operating Reference Station. A network managed by the U.S. office of National Oceanic and Atmospheric Administration (NOAA) to provide GNSS data consisting of carrier phase measurements throughout the United States.

Application Map

A plan showing the location and rate at which inputs such as seeds, fertilizers, or pesticides will be applied across a field, derived manually or automatically from analysis of yield maps or according to field grids or zones.


An electronic device used to change product application rates on-the-go in different parts of the field based on user directions or prescription application maps.


A deviation or inconsistency in excess of the normal variation from what one would expect to observe.