Research

Biological Systems Engineering Assistant Professor Santosh Pitla (left) talks with BSE Graduate Student John Evans about the class they're teaching where students explore access and analysis of operational data from tractors.
Figure 1. Biological Systems Engineering Assistant Professor Santosh Pitla (left) talks with BSE Graduate Student John Evans about the class they're teaching. Students learn how to access and analyze tractor data.

Agricultural Machinery Data Acquisition and Analytics Research Could Lead to Increased Fuel and Field Efficiencies October 28, 2016

How much power are your farm implements using and how can you make them more efficient? These are among the questions being addressed by Santosh Piitla, an assistant professor of advanced machinery systems in the University of Nebraska Department of Biological Systems Engineering. Pitla is developing software to analyze key data from a tractor's multiple computers. Eventually the data will lead to "real-time," in-the-cab feedback to help operators manage field equipment more efficiently.

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From the Combine: Considering Changes for 2017? Use On-farm Research to Test Them October 21, 2016

As hoppers, trucks and bins are filling up with corn and soybeans this fall, it’s the ideal time for growers to consider whether this year's production practices were profitable for their operation.

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Mehmet Can Vuran (left) and Suat Irmak have earned a $450,000 NSF grant to develop a second generation of underground sensor technology.
Mehmet Can Vuran (left) and Suat Irmak have earned a $450,000 NSF grant to develop a second generation of underground sensor technology.

UNL Researchers Receive NSF Grant to Develop Next Generation Soil Sensors September 2, 2016

University of Nebraska-Lincoln researchers have received a $450,000 grant from the National Science Foundation to develop a second generation of underground sensor technology to automate decision-making for crop irrigation.

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Patricio Grassini and a field of corn
Patricio Grassini and a field of corn

UNL Corn Yield Model Verifies as Reliable Larger Scale Predictor June 13, 2016

Collecting basic agricultural data from a mere 45 sites can provide enough predictive power to reasonably estimate crop yields within a 10-state swath of the U.S. Corn Belt, says a new study led by the University of Nebraska-Lincoln. The study compared actual corn production from 2011 through 2014 against best-case projections from the UNL Hybrid-Maize model that accounts for weather, soil properties and planting practices.

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Spreader spreading sugar beet char
Spreader spreading sugar beet char

UNL Studying Whether Sugarbeet Char Can Improve Soil June 9, 2016

Scientists from the University of Nebraska-Lincoln (UNL) have begun a multi-year study into whether high-carbon char, a fine, powdery coal dust left over from sugarbeet processing, can improve crop fields.

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Checking seed placement of a multi-hybrid planter
Figure 1. Joe Luck (left) and Rachel Stevens check seed placement of a multi-hybrid planter being tested as part of a collaborative research project among UNL researchers, industry, and growers.

UNL Precision Ag Leads Group Studying Multi-Hybrid Planter Applications in Corn and Soybeans May 26, 2016

A multi-disciplinary UNL Precision Ag Research and Extension team is working with local and regional industry groups and growers to examine the use and potential for multi-hybrid planters. This new technology can plant at least two seed varieties in one trip or manage various seed treatments from separate bulk tanks on the planter.

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Hongfeng Yu (from left), Yufeng Ge and Harkamal Walia have received a National Science Foundation grant to develop a multi-wavelength laser ranging and imaging instrument for phenotyping plant shoots at the whole-plant level. (Hailey Steinkuhler/IANR Media)
Hongfeng Yu (from left), Yufeng Ge and Harkamal Walia have received a National Science Foundation grant to develop a multi-wavelength laser ranging and imaging instrument for phenotyping plant shoots at the whole-plant level. (Hailey Steinkuhler/IANR Media)

NSF Grant to Support Development of New Phenotyping Instrument at UNL May 16, 2016

With support from a National Science Foundation grant, University of Nebraska-Lincoln researchers are developing a new tool that will help them better identify plant characteristics that are critical to improving crop performance.

The three-year, $534,194 grant will be used to develop an instrument that will improve capacity, sensitivity and throughput for plant phenotyping. 

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