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Cengiz Koparan: Bridging the Hole Between Agricultural Know-how and Farmers
Cengiz Koparan is an assistant professor of precision agriculture know-how on the U of A System Division of Agriculture.
Cengiz Koparan understands the significance of agricultural know-how from private expertise. In 2004, he planted 1,000 apple timber in Ankara, Turkey. The demanding work of sustaining and harvesting the apples in his orchard impressed him to work in direction of making superior robotics extra accessible to farmers.
As the brand new assistant professor of precision agriculture know-how for the U of A System Division of Agriculture, Koparan believes that the fast development of synthetic intelligence is making cutting-edge know-how extra obtainable than ever earlier than.
In response to Koparan, automating agricultural programs and know-how is not only a imaginative and prescient for the longer term. He acknowledged, Fifteen years in the past it was the longer term, however now it is right here.
Koparan’s analysis focuses on bettering agricultural practices via using robotic programs. One among his targets is to make use of synthetic intelligence to cut back labor shortages and make farm know-how extra user-friendly for producers.
In his view, as applied sciences grow to be extra complicated, synthetic intelligence can play a vital function in making them extra approachable for customers. Koparan believes that AI can function a bridge between engineering purposes and operators, taking on sure points and parameters of robotic programs.
On the Arkansas Agricultural Experiment Station, researchers are already exploring numerous purposes of synthetic intelligence and machine studying. They’re at the moment evaluating new weed management applied sciences, designing programs to find out yield potential from aerial imagery, and finding out using AI and robotics in hen processing.
Encouraging Pupil Involvement in Agricultural Robotics
Koparan joined the experiment station in February and holds positions in each the Dale Bumpers School of Agricultural, Meals and Life Sciences and the School of Engineering. He’s a member of the Division of Agricultural Training, Communications and Know-how and the Division of Organic and Agricultural Engineering.
Since arriving in Arkansas, Koparan has been actively concerned in selling scholar participation in agricultural robotics. He established an agricultural robotics membership on the college and obtained a $5,000 Pupil Success Grant from the college’s World Campus. The grant will fund a recurring capstone challenge course beginning in spring 2024, the place Koparan will information college students in constructing quadcopters and subsystems for site-specific precision agriculture purposes.
The robotics membership can also be getting ready to compete within the scholar robotics membership competitors on the American Society of Agricultural and Organic Engineers Annual Worldwide Assembly in Omaha, Nebraska, on July 9.
Koparan believes that involving college students in such a analysis is essential for his or her improvement and for the adoption of those applied sciences within the agriculture trade. He attracts from his personal expertise as a scholar in agricultural robotics golf equipment, stating that the trade will proceed to embrace these applied sciences as time progresses.
Koparan holds a bachelor’s diploma in agricultural engineering from Ankara College in Turkey, a grasp’s diploma in enterprise administration from Cambridge School, and grasp’s and doctoral levels in plant and environmental sciences from Clemson College. His present and upcoming analysis tasks contain utilizing laptop vision-integrated unmanned aerial autos (drones) to depend blackberry blossoms and growing laptop vision-based variable charge spraying programs for weed management in soybean crops utilizing drones and unmanned floor autos.
Throughout his doctoral research, Koparan labored on numerous tasks involving unmanned aerial and floor autos. He has expertise in utilizing picture processing to depend peach blossoms and contributed to analysis on growing water high quality monitoring instruments utilizing drones, which had a constructive impression on watershed administration in South Carolina.
Along with his distinctive mixture of information in engineering ideas and agricultural practices, Koparan is devoted to discovering revolutionary options to trade challenges. As he places it, When you know the way and you already know there’s a want, you do it.
Continuously Requested Questions
What’s precision agriculture know-how?
Precision agriculture know-how entails using superior instruments and methods to enhance agricultural practices. It combines numerous applied sciences, equivalent to robotics, synthetic intelligence, and laptop imaginative and prescient, to reinforce effectivity, productiveness, and sustainability in farming.
How does synthetic intelligence profit agriculture?
Synthetic intelligence performs a vital function in agriculture by automating duties, analyzing huge quantities of knowledge, and making predictive insights. It permits farmers to optimize useful resource allocation, detect plant ailments, enhance yield prediction, and streamline operations for higher general effectivity.
What function does robotics play in agriculture?
Robotics is remodeling agriculture by automating labor-intensive duties, equivalent to planting, harvesting, and spraying. Agricultural robots can function autonomously or be remotely managed, lowering the necessity for guide labor and growing precision and productiveness. They permit farmers to optimize useful resource utilization, reduce environmental impression, and enhance general crop high quality and yield.
How can college students become involved in agricultural robotics?
College students concerned with agricultural robotics can be a part of golf equipment and organizations at their universities targeted on this discipline. They will take part in competitions, tasks, and analysis that contain designing and constructing robots for agricultural purposes. Involvement in these actions gives hands-on expertise and invaluable alternatives for studying and networking.
Conclusion
Cengiz Koparan, an assistant professor of precision agriculture know-how, is working in direction of bridging the hole between superior know-how and farmers. His analysis and efforts on the U of A System Division of Agriculture goal to make agricultural robotics extra accessible, user-friendly, and useful for producers. By leveraging synthetic intelligence and robotics, Koparan seeks to handle labor shortages, enhance agricultural practices, and foster sustainable farming strategies. By means of his involvement in scholar engagement and analysis tasks, he’s nurturing the following technology of agricultural innovators and driving the adoption of superior applied sciences within the trade.
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