Cengiz Koparan

Seed funding incubates ideas to improve agriculture through engineering

By John Lovett
University of Arkansas System Division of Agriculture
Arkansas Agricultural Experiment Station

FAYETTEVILLE, Ark. — Ingenuity in agriculture requires collaboration, and seed funds, to make an impact.

That’s the mindset behind Engineering Applications in Agriculture, an innovation accelerator created with funding from the University of Arkansas College of Engineering, the Arkansas Agricultural Experiment Station, and the Dale Bumpers College of Agricultural, Food and Life Sciences.

APPLICATIONS — Cengiz Koparan, right, is one of 10 University of Arkansas System faculty members who was recently awarded $25,000 in the first Engineering Applications in Agriculture seed funding program. (U of A System Division of Agriculture photo by Paden Johnson)

“This initiative was designed to foster collaboration and create opportunities for significant impact” said Sandra D. Eksioglu, associate dean for research in the College of Engineering. “The two criteria used for selecting proposals to fund through this program were intellectual merit and broader impacts.”

On July 1, five winning teams in the first Engineering Applications in Agriculture program were awarded $25,000 each to carry out their projects. Over the next year, they’ll conduct research to put their ideas into action.

Mary Savin, head of the horticulture department, said the overarching goal of the program is for researchers to develop new collaborations with colleagues from other colleges and to assist them in developing proof-of-concept outcomes that have “strong potential to secure future external funding.”

“When the teams later submit their work to the National Science Foundation, or the U.S. Department of Agriculture, they will be better positioned to make a compelling case and have a higher chance of receiving funding,” added Eksioglu, who is also professor of industrial engineering and Hefley Professor in Logistics and Entrepreneurship.

During the spring semester, Savin and Eksioglu organized two workshops to bring together faculty from both colleges, providing them with a platform to network, share research and form teams aimed at pursuing external funding. Next, they established the Engineering Applications in Agriculture program, an internal seed funding program, to support the newly formed teams.

The winning teams and projects for the first Engineering Applications in Agriculture program include the following faculty members, with principal investigators and their co-principal investigators, respectively:

  • Wan Shou, assistant professor in the mechanical engineering department; and Ali Ubeyitogullari, assistant professor in the food science department, and the biological and agricultural engineering department. They will work to develop novel, multifunctional materials for food packaging to increase the shelf-life of foods.

  • Ben Runkle, associate professor in the biological and agricultural engineering department; and Shannon Speir, assistant professor of water quality in the crop, soil and environmental sciences department. They will work on a project to evaluate the ecological consequences of “climate smart agriculture.”

  • Thi Hoang Ngan, assistant professor of computer science and computer engineering in the electrical engineering and computer science department; and Cengiz Koparan, assistant professor of precision agriculture technology in the agricultural education, communications and technology department. They will work to develop computational models to translate satellite-view imagery to unmanned aerial vehicles to assess water quality.

  • Fiona Goggin, professor in the entomology and plant pathology department; Khoa Luu, assistant professor and director of the Computer Vision and Image Understanding Lab in the electrical engineering and computer science department; and collaborator Rich Adams, assistant professor in the Center for Agricultural Data Analytics and the entomology and plant pathology department. They will work on an artificial intelligence enabled “multi-omics” approach to improve plant health and productivity.

  • Wen Zhang, associate professor in the civil engineering department; and Young Min Kwon, microbiologist in the poultry science department, will work to improve early detection of emerging pathogens in poultry.

To learn more about Division of Agriculture research, visit the Arkansas Agricultural Experiment Station website: https://aaes.uada.edu. Follow on Twitter at @ArkAgResearch. To learn more about the Division of Agriculture, visit https://uada.edu/. Follow us on Twitter at @AgInArk. To learn about extension programs in Arkansas, contact your local Cooperative Extension Service agent or visit www.uaex.uada.edu.About the College of Engineering

The University of Arkansas College of Engineering is the largest engineering program in the state of Arkansas. Over the past 15 years, the college has experienced unprecedented growth. Undergraduate enrollment reached just over 3,300 in fall 2023, and total enrollment in the college is nearly 4,500 students. The College of Engineering offers graduate and undergraduate degrees in seven engineering departments: biological and agricultural, biomedical, chemical, civil, electrical and computer science, industrial and mechanical. The college also offers distance learning and interdisciplinary programs, including data science. Faculty in the college conduct research in many key areas, including biomedical and healthcare, electronics, energy, healthcare logistics, materials science, nanotechnology, transportation and logistics. Emerging research areas include advanced manufacturing, cybersecurity, data science, infrastructure, membranes and separation and water.

Artificial intelligence in agriculture isn’t the future; it’s now

By Brittaney Mann
U of A System Division of Agriculture

FAYETTEVILLE, Ark. — Cengiz Koparan knows first-hand the need for agricultural technology.

PRECISION AG — Cengiz Koparan is assistant professor of precision agriculture technology. (U of A System Division of Agriculture photo by Fred Miller)

Koparan planted 1,000 apple trees in Ankara, Turkey, in 2004. The demanding work of planting, maintaining and harvesting the apples in his orchard helped inspire his mission to put advanced robotics in the hands of more farmers.

Koparan, a new assistant professor of precision agriculture technology for the University of Arkansas and the University of Arkansas System Division of Agriculture, said the rapid rise of artificial intelligence is already making cutting-edge technology more available.

“It’s no longer a future,” Koparan said about automating agricultural systems and technology. “Fifteen years ago it was the future, but now it’s here.”

Koparan’s research aims to improve agricultural practices through robotic systems. Part of his research involves using artificial intelligence to reduce labor shortages and make farm technology more approachable for producers.

Koparan said that as technologies become more complex, artificial intelligence could make them more user-friendly.

“Someone needs to form a bridge between engineering applications and the operators,” Koparan said. “AI can fill some of this gap. If a machine or robot is based on artificial intelligence, then the end user won’t have to control all aspects and parameters of the robot.”

Researchers with the Arkansas Agricultural Experiment Station, the research arm of the Division of Agriculture, are already investigating numerous applications of artificial intelligence and machine learning. Experiment station scientists are evaluating new weed control technologies, designing systems to determine yield potential from aerial imagery and studying the use of artificial intelligence and robotics in chicken processing.

Encouraging student involvement

Koparan joined the University of Arkansas System in February. He has a dual role, working for both the Dale Bumpers College of Agricultural, Food and Life Sciences and the College of Engineering. He is in the department of agricultural education, communications and technology in the former, and the department of biological and agricultural engineering in the latter.

Since arriving in Arkansas, Koparan has established an agricultural robotics club at the university and received a $5,000 Student Success Grant from the university’s Global Campus. The grant will fund a reoccurring capstone project course beginning in spring 2024. Throughout the course, Koparan will instruct students on how to build a quadcopter and subsystems for site-specific precision agriculture applications.

The robotics club will compete in the American Society of Agricultural and Biological Engineers Annual International Meeting student robotics club competition in Omaha, Nebraska, on July 9, Koparan said.

“We need more student involvement in this type of research,” Koparan said. He said he learned a lot as a student in agricultural robotics clubs, and he sees the agriculture industry adopting these technologies more as time progresses.

Koparan received his bachelor’s degree in agricultural engineering from Ankara University in Turkey in 2008 and earned a master’s degree in business management from Cambridge College in 2012. Koparan then attended Clemson University, earning master’s and doctoral degrees in plant and environmental sciences in 2016 and 2020.

Koparan’s upcoming and current research includes using computer vision-integrated unmanned aerial vehicles, or drones, to count blackberry blossoms. He is also developing computer vision-based variable rate spraying systems focused on weed control in soybean crops using drones and unmanned ground vehicles.

As a doctoral student, Koparan worked on various projects using unmanned aerial and ground vehicles. His upcoming blackberry blossom research parallels one of his earlier projects that used image processing to count peach blossoms. He also contributed to research on developing water quality monitoring tools using drones, which helped improve watershed management in South Carolina.

His post-doctoral work focused on precision weed management using computer vision and artificial intelligence to drive a drone-based automated spraying system.

Koparan said his knowledge of engineering concepts combined with his awareness of agricultural practices allow him to explore possible solutions to issues in the industry.

“When you know how and you know there is a need, you do it,” Koparan said.

To learn more about Division of Agriculture research, visit the Arkansas Agricultural Experiment Station website: https://aaes.uada.edu/. Follow us on Twitter at @ArkAgResearch. To learn more about the Division of Agriculture, visit https://uada.edu/. Follow us on Twitter at @AgInArk. To learn about extension programs in Arkansas, contact your local Cooperative Extension Service agent or visit www.uaex.uada.edu.