The Open Ag Technologies and Systems Group


A LITTLE ABOUT OUR GROUP


The Open Ag Technology and Systems Group is devoted to bringing great open source projects to agriculture. We are farmers, professors, students, scientists, and engineers. We love to code, solder, do math, analyze data, and have fun doing it.

We don’t like having to reinvent the wheel, so we publish the results of our efforts publicly to help support fellow travelers anywhere else in the world. Please check out some of our active open source projects below to find ways you can contribute.



WE CREATE COOL STUFF




ISOBlue
Take a Look
Watershed
Take a Look
OpenATK
Take a Look




FACULTY



Jim Krogmeier

Professor of Electrical and Computer Engineering.
jvk@purdue.edu
 

Dennis Buckmaster

Assistant Dean and Associate Director of the Office of Academic Programs and Professor of Agricultural & Biological Engineering.
dbuckmas@purdue.edu
 

Aaron Ault

Senior Research Engineer for the Open Ag Technology and Systems Group.
ault@purdue.edu
 

FORMER STUDENTS





Jonathan Welte

Agricultural & Biological Engineering.
jwelte@purdue.edu
 

Matthew Koester

Agricultural & Biological Engineering.
koesterm@purdue.edu
 

GRADUATE STUDENTS





Alex Layton

Electrical & Computer Engineering.
awlayton@purdue.edu
 

Andrew Balmos

Electrical & Computer Engineering.
abalmos@purdue.edu
 

Samuel Noel

Agricultural & Biological Engineering.
sanoel@purdue.edu
 

Elizabeth Hawkins

Agricultural & Biological Engineering.
emhawkin@purdue.edu
 

Yaguang Zhang

Electrical & Computer Engineering.
ygzhang@purdue.edu
 

Yang Wang

Electrical & Computer Engineering.
wang701@purdue.edu
 

UNDERGRADUATE STUDENTS





Cyrus Bowman

Electrical & Computer Engineering.
bowman16@purdue.edu
 




PUBLICATIONS





Elizabeth Hawkins

Published August 17. 2015

Genome-Wide Association for Sugar Yield in Sweet Sorghum

Sweet sorghum [Sorghum bicolor (L.) Moench] is characterized by juicy stems with high concentrations of fermentable sugars. The genetic basis of these phenotypes is not understood. A sweet sorghum diversity panel (n = 252), consisting of sweet sorghum cultivars (n = 80) and diverse landraces selected for matching plant height and maturity (n = 172), was genotyped and phenotyped in three environments over 2 yr for sugar-yield-related traits...

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Elizabeth Hawkins

Published 2015

Benchmarking Costs of Fixed-Frame, Articulated, and Tracked Tractors

Recent changes in the agricultural equipment market have led to increased costs associated with tractor ownership and operation. A regression analysis produced a linear model for purchase price based on a tractor’s power and configuration (fixed frame, articulated, tracked). Projected purchase price and other cost contributors including fuel, repair and maintenance, housing, taxes, and insurance were used to predict hourly ($/h) and specific cost ($/kWh). Tractor cost per hour is proportional to power rating with marginal hourly cost independent of configuration...


Elizabeth Hawkins

Published July. 2015

Practicing metadata analysis with corn production data from research plots

Recent interest in the realm of “big data” in agriculture has led to a demand for tools farmers can use to analyze past yield data to drive future decisions. While sophisticated statistical analysis has been used in the past to analyze comparative field trials, better capture and interpretation of descriptive metadata will be required to reap more benefit from crop production data...


Andrew Balmos

Published July 13. 2014

Toward Understanding the Errors in Online Air-Ride Suspension Based Weight Estimation

It has been previously shown that the weight of a vehicle can be accurately estimated from pressure measurements in its air-bag suspension with just limited calibration. However, because the current state-of-the- art does not account for possible suspension dynamics, the vehicle must, in general, be static and on flat level ground. This work presents progress toward overcoming this limitation, thus, enabling activities such as yield mapping silage or stover and on-the-fly in-field calibration of classical yield monitors...

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Alex Layton

Published July 13. 2014

ISOBlue: An Open Source Project to Bring Agricultural Machinery Data into the Cloud

The past decade has seen a tremendous increase in the number of agricultural machines whose internal data communications follow the ISO 11783 (ISOBUS) standard. With this standardization in place, there is an excellent opportunity for data acquisition. In many cases, the data never leaves the vehicle; even when it does, it is not generally in a format useful to the farm management team and therefore is consequently under-utilized. Independent efforts to ameliorate the situation...

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Jonathan Welte

Published July 13. 2014

Structure, Features, and Benefits of the Open Ag Toolkit Approach to Farm Management Information Systems

The Open Ag Toolkit (OpenATK) project was started to help farmers manage and take ownership of their farm’s data, and subsequently reuse information specific to their farm to improve decision making on a daily basis. Some farmers want to get their farm’s data out of the pocket notebooks, office binders, and various other locations into the cloud where it can be securely stored and shared with other stakeholders. In order to facilitate these goals, developers applied various user-focused design practices that led to a suite of collaborative apps with simple, flat user interfaces...

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Aaron Ault

Published July 21. 2013

Mobile, Cloud-Based Farm Management: A Case Study with Trello on My Farm

Record keeping needs tend to grow with the size of a farming operation, but so do the hurdles to maintaining good records. Many farmers recognize a need for record keeping techniques that grow with them. Unfortunately, there have traditionally been significant trade-offs between the work of achieving accurate, useful, and recallable records, and additional management workloads...

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Andrew Balmos

Published July 21. 2013

Investigation of Bluetooth Communications for Low- Power Embedded Sensor Networks in Agriculture

Wireless sensor networks that monitor agricultural equipment can provide useful data to optimize a farm’s productivity. To become widely adopted, such a sensor network requires sensors with battery lives at least as long as a full farming season. The standard low power wireless sensor communication platforms, e.g. Zigbee and ANT, lack common hardware support in consumer devices...

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Sam Noel

Published July 21. 2013

Watershed Delineation in the Field: A New Approach for Mobile Applications Using LiDAR Elevation Data

As mobile devices improve, the possibility of bringing watershed management tasks typically performed in the office to the field can be realized. High-resolution digital elevation models that capture microtopographic features such as natural depressions, road embankments, and ditches further enable...

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Jonathan Welte

Published July 21. 2013

An Approach to Farm Management Information Systems Using Task-Specific, Collaborative Mobile Apps and Cloud Storage Services

Modern production agriculture is beginning to advance beyond deterministic, scheduled operations between relatively few people to larger scale, information-driven efficiency in order to respond to the challenges of field variability and meet the needs of a growing population. Since no two farms are the same with respect to information...

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Jonathan Welte

Published June 23. 2013

Autogenic Mobile Computing Technologies in Agriculture: Applications and Sensor Networking for Smart Phones and Tablets

No two farms are the same with respect to management structure, equipment, farm plan, etc. Farm management information systems (FMIS) of the future need to accommodate the differences and be holistic in nature as well as cost effective. Fortunately, many technologies are available to address these concerns, but they need to be integrated...


Alex Layton

Published June 29. 2012

Wireless Load Weight Monitoring Via a Mobile Device Based on Air Suspension Pressure

In order to optimize loading and comply with weight regulations, truck drivers need to be able to measure the weight of their vehicle, both total weight and individual axle weights. In many situations, e.g., field loading, fixed scales may be far away and portable scales may be impractical or too costly. A fast, real-time, cost-effective system for vehicle weighing is needed....

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CONTACT US




Purdue VIP Team

Purdue students can join our VIP Team.

 OpenATK VIP Team
 vip@ecn.purdue.edu

SUPPORT US




We are actively seeking contributors for our projects, so if you'd like to help, please contact us for more information. A special thanks to all who have contributed, including:





































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