A master’s thesis in the College of Engineering – Department of Electrical and Electronic Engineering, had the research entitled (Automatic detection of palm trees infected with Dubas insect based on artificial intelligence) by researcher Abdullah Mazen Al-Mahmoud, where he explains in this thesis that Dubas is a harmful insect that causes fading and yellowing of these plant parts, which results in great and direct damages and losses for farmers and the national economy. Traditional methods of combating this insect consume large quantities of pesticides after spraying them using helicopters, which affect humans, poultry barns, cows and beehives. This research presents the strategy of automatic identification of Dubas insect and identification of infested palm trees.
This research presents the strategy of automatic identification of Dubas insect and the identification of infested palm trees. Most of the recent researches rely on deep learning networks for its powerful classification efficiency as it showed the highest classification accuracy of the experimental results of the Inception V3 model at 99.7% accuracy.
The thesis was approved by the discussion committee, which consisted of Prof. Dr. Saad Saffah Hassoun (University of Babylon), Assistant Professor Dr. Moayyad Salim Code (University of Karbala, Assistant Professor Dr. Ali Fawzi Al-Shammari (University of Karbala), and the membership and supervision of Professor Dr. Haider Ismail Al-Mayali (University of Karbala), membership and supervision of Assistant Professor Dr. Ali Reda Al-Musawi (College of Computer Science and Information Technology).
