High-Performance Deep learning to Detection and Tracking Tomato Plant Leaf Predict Disease and Expert Systems


Nowadays, technology and computer science are rapidly developing many tools and algorithms, especially in the field of artificial intelligence.  Machine learning is involved in the development of new methodologies and models that have become a novel machine learning area of applications for artificial intelligence. In addition to the architectures of conventional neural network methodologies, deep learning refers to the use of artificial neural network architectures which include multiple processing layers. In this paper, models of the Convolutional neural network were designed to detect (diagnose) plant disorders by applying samples of healthy and unhealthy plant images analyzed by means of methods of deep learning. The models were trained using an open data set containing (18,000) images of ten different plants, including healthy plants. Several model architectures have been trained to achieve the best performance of (97 percent) when the respectively [plant, disease] paired are detected. This is a very useful information or early warning technique and a method that can be further improved with the substantially high-performance rate to support an automated plant disease detection system to work in actual farm conditions.
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Jasim, Y. A. (2021). High-Performance Deep learning to Detection and Tracking Tomato Plant Leaf Predict Disease and Expert Systems. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 10(2). https://doi.org/10.14201/ADCAIJ202110297122


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Author Biography

Yaser AbdulAali Jasim

Cihan University - Erbil
Mr. Yaser A. JASIM has joined the Department of Accounting at Cihan University-Erbil as a lecturer and (Course Coordinator) in 2014. He has an M.Sc. degree in Software Engineering from Mosul University in 2013 and B.Sc. in Software Engineering from Mosul University in 2007. His research interest focuses on Software Engineering, E-Systems, Data Modelling, Information Technology, Information Systems, Accounting Software, and Computer Science; he also had published (26) scientific papers and one book in this field study.