Evolution and Applications of Quantum Computing

13Identification of Bacterial Diseases in Plants Using Re-Trained Transfer Learning in Quantum Computing Environment

Sri Silpa Padmanabhuni¹, B. Srikanth Reddy¹, A. Mallikarjuna Reddy²* and K. Sudheer Reddy³

¹ Department of Computer Science & Engineering, PSCMR College of Engineering & Technology, Vijayawada, India

² Department of Artificial Intelligence, Anurag University, Hyderabad, India

³ Department of Information Technology, Anurag University, Hyderabad, India

Abstract

The digitization of any field has become prominent with the advancement of AI techniques. Rapid development has happened in the field of Agriculture to identify the diseases in the plants to protect the crop. Using traditional approaches, researchers performed disease identification for specific plants but in this proposed system usage of quantum computing techniques integrated with deep learning helps to identify any bacterial disease in different plants. This helps the farmers to use a single window application while the farmer changes the crop seasonally. The deep learning module needs a huge amount of data to train the system, so the model deploys quantum computing particles in the GPUs and uses ImageNET module as dataset. This dataset is popular for annotated images with more than 1000 class labels and 1.2 Million images. Since, the dataset contains high quality images, general CPU’s and super computers consume more energy to perform any complex operation. Instead of, control unit bits, quantum computing ...