Harmful Insects Will Be Diagnosed With Artificial Intelligence in Şanlıurfa

A project that can detect harmful insects in cotton with artificial intelligence has been developed at Harran University. Within the scope of the project, implemented in cooperation with the Faculty of Agriculture and the Faculty of Engineering, it is aimed to contribute to the economy of the region and the country by increasing cotton productivity and quality.

Thanks to the system, which can be tracked through the mobile system called "Artificial Intelligence Based Digital Pest Management in Cotton Production Areas" developed by Harran University academicians, harmful insects in agricultural areas will be detected in a timely manner with the help of artificial intelligence, and efficiency will be increased with correct spraying techniques.

Developed in cooperation with the Plant Protection Department of the Faculty of Agriculture and the Computer Department of the Faculty of Engineering, supported by the Harran University Scientific Research Projects Coordinatorship, Harran University Faculty Member Assoc. Dr. In the project team led by Mehmet Mamay, Dr. Instructor Prof. M. Emin Tenekeci, Assoc. Dr. Cetin Mutlu and Dr. Instructor Its member is Shahid Farooq.

Stating that beneficial and harmful insects are mixed together because many insect species are physically similar to each other, Assoc. Dr. Mehmet Mamay said:

“Incorrect diagnosis of pests means that treatment and control will be wrong from the beginning. As a result, wrong and unnecessary pesticide use is in question, which results in pollution of soil, water and air resources, endangerment of human and animal health, deterioration of the natural balance in favor of pests, resistance of pests, and pesticide residues in food.

“The first step to success in the fight is the correct diagnosis of pests”

Mamay stated that the application will be an artificial intelligence-based mobile software based on computer vision and machine learning, making use of convolutional neural networks, and continued his words as follows:

"Users will be informed, including their identification, biology, damage patterns, time and methods of control, by taking pictures of insects they see in the field or brought to them as harmful, with this software they have installed on their mobile devices."