AI in agriculture: it’s today, not tomorrow

Cengiz Koparan: Bridging the hole between agricultural information and farmers

Cengiz Koparan understands the significance of agricultural information from personal experience. In 2004, he planted 1,000 apple orchards in Ankara, Turkey. The difficult activity of sustaining and harvesting apples in his orchard prompted him to work to make superior robotics extra accessible to farmers.

As the brand new assistant professor of precision agriculture expertise for the U of A Division of Strategies Agriculture, Koparan believes the speedy enchancment in artificial intelligence is making cutting-edge expertise extra accessible than ever.

Consistent with Koparan, the automation of agricultural functions and know-how is just not solely imaginative and prescient in the long term. He stated 15 years in the past it was long run, however now it is right here.

Koparan’s analysis focuses on enhancing agricultural practices via using robotic functions. Actually one in every of its targets is to make use of artificial intelligence to scale back labor shortages and make it simpler for farmers to make use of agricultural know-how.

In his view, because the sciences used turn out to be tougher, synthetic intelligence can play an important function in making them extra accessible to customers. Koparan believes that AI can act as a bridge between engineering and operator features, assuming sure components and parameters of robotic functions.

On the Arkansas Agricultural Experiment Station, researchers are already exploring some options for synthetic intelligence and machine analysis. They’re presently evaluating the brand new science used for weeding, designing functions to search out the potential for aerial imaging, and finding out using synthetic intelligence and robotics in processing hens.

Encourage pupil participation in agricultural robotics

Koparan joined the Experimental Station in February and holds positions at each the Dale Bumpers Faculty of Agriculture, Meals and Life Sciences and the Faculty of Engineering. He’s a member of the Division of Teaching, Communications and Agricultural Data and the Division of Pure and Agricultural Engineering.

Since arriving in Arkansas, Koparan has been lively in selling educator involvement in agricultural robotics. He established an agricultural robotics membership within the faculty and earned a $5,000 pupil achievement grant from the school’s World Campus. The grant will fund a recurring course on the capstone downside beginning within the spring of 2024, by which Koparan will practice college undergraduate college students to construct quadcopters and subsystems for site-specific precision agriculture features.

The robotics membership is getting ready to compete within the instructional robotics membership competitors on the American Society of Agricultural and Pure Engineers Annual World Meeting in Omaha, Nebraska, on July 9.

Koparan believes that involving faculty college students in that analysis is essential to its enchancment and the adoption of these sciences used all through the agricultural commerce. He attracts on his personal expertise instructing agricultural robotics golf instruments, saying the corporate will proceed to embrace these utilized sciences as time goes on.

Koparan holds a bachelor’s diploma in agricultural engineering from Ankara Faculty in Turkey, an MBA from the school of Cambridge, and a grasp’s and PhD in plant and environmental sciences from Clemson Faculty. His current and future examine assignments embody using imaginative and presciently transportable built-in unmanned aerial autos (drones) to regulate blackberry blossoms and the rising variable-cost spray functions primarily based on imaginative and presciently transportable weeds. of soybeans utilizing drones and unmanned aerial vehicles.

Throughout his doctoral analysis, Koparan labored on a number of duties related to unmanned aerial and floor cars. She is skilled in utilizing picture processing to depend on peach blossoms and contributed to the analysis on growing water high quality monitoring gadgets utilizing drones, which had a optimistic impression on the watershed administration hydrographics in Carolina. South.

Alongside together with his distinctive mix of insights into engineering insights and agricultural practices, Koparan is devoted to uncovering game-changing selections for enterprise challenges. As he says, at any time when you understand how to do it and also you already know there is a want, you do it.

Questions commonly requested

What’s know-how in precision agriculture?

Precision farming insights embody using superior gadgets and methods to enhance agricultural practices. It combines some used sciences, equivalent to robotics, artificial intelligence and creativity and laptop information, to enhance the effectiveness, productiveness and sustainability in agriculture.

How does AI profit agriculture?

AI performs a major place in agriculture by automating duties, analyzing large quantities of data, and producing predictive insights. It permits farmers to optimize helpful supply allocation, detect plant disturbances, enhance yield prediction, and optimize operations for larger total effectiveness.

What’s the function of robotics in agriculture?

Robotics is reshaping agriculture by automating labor-intensive duties like planting, harvesting and spraying. Agricultural robots can work autonomously or be operated remotely, lowering the necessity for guided work and growing accuracy and productiveness. They permit farmers to optimize using helpful sources, scale back the environmental footprint and enhance the usual and common yield of crops.

How can undergraduate college college students become involved in agricultural robotics?

School faculty college students taken with agricultural robotics might be a part of golf group and organizations of their faculties devoted to this self-discipline. They’ll take part in competitions, duties and analyzes involving the design and building of robots for agricultural features. Participation in these actions supplies delicate abilities and invaluable choices for evaluation and group.

Conclusion

Cengiz Koparan, an assistant professor of know-how in precision agriculture, is working to bridge the hole between excessive know-how and farmers. His evaluation and his efforts on the U of A System Division of Agriculture’s objective of creating agricultural robotics extra accessible, simpler to make use of and helpful for farmers. Leveraging synthetic intelligence and robotics, Koparan seeks to handle labor shortages, enhance agricultural practices and encourage sustainable farming strategies. Together with his involvement in analytics and academic efforts, he’s fostering the next know-how from agricultural innovators and driving the adoption of superior utilized science in enterprise.

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