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in INFORMATION TECHNOLOGY
K. Sri Sai Bhargavi (18L31A1245) D. Snigdha Bhavani (18L31A1279) B. Pujitha (18L31A1266) S. Siddharth(18L31A1290)
Mrs G.Jyothi Assistant Professor IT Department
ii Department of Information Technology
This is to certify that the Project report entitled “DISEASE DETECTION OF VARIOUS LEAF USING IMAGE PROCESSING TECHNIQUE” is a bonafide record of project work carried out under my supervision by K. Sri Sai Bhargavi bearing Reg.No.18L31A1245, D. Snigdha Bhavani bearing Reg.No.18L31A1279, B. Pujitha bearing Reg.No.18L31A1266, S. Siddharth bearing Reg.No.18L31A1290 in partial fulfilment of the degree of Bachelor of Technology in Information Technology of Vignan’s Institute of Information Technology(A) affiliated to Jawaharlal Nehru Technology University Kakinada, during the academic year 2018-2022. Signature Signature Mrs G.Jyothi Dr.G.Rajendra Kumar (Assistant Professor) (HOD) EXTERNAL EXAMINER
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An endeavor over a long period can be successfully with the advice and support of many well-wishers. I take this opportunity to express our gratitude and appreciation to all of them. I express my sincere gratitude to my internal guide , Mrs. G.Jyothi , Assistant Professor for his/her encouragement and cooperation in completion of my project. I am very fortunate in getting the generous help and constant encouragement from him/her. I would be very grateful to our project coordinator , Mrs. A. Sirisha , Assistant Professor for the continuous monitoring of my project work.I truly appreciate for her time and effort helping me. I would like to thank our Head of the Department , Dr. G. Rajendra Kumar , Professor and all other teaching and non - teaching staff of the department for their cooperation and guidance during my project. I sincerely thank to Dr. B. Arundhati , Principal of VIGNAN’S INSTITUTE OF INFORMATION TECHNOLOGY (A) for her inspiration to undergo this project. I wanted to convey my sincere gratitude to Dr. V. Madhusudhan Rao , Rector of VIGNAN’S INSTITUTE OF INFORMATION TECHNOLOGY (A) for allocating the required resources and for the knowledge sharing during my project work. I extended my grateful thanks to our honorable Chairman Dr. L. Rathaiah for giving me an opportunity to study in his esteemed institution. K. Sri Sai Bhargavi (18L31A1245) D. Snigdha Bhavani(18L31A1279) B. Pujitha (18L31A1266) S. Siddharth (18L31A1290)
v INFORMATION TECHNOLOGY VISION : To be a centre of excellence in high quality education and research producing globally competent IT professionals with ethical /human values to meet the needs of Information Technology sector and related services. MISSION: To impart high quality of education through innovative teaching – learning practices resulting in strong software and hardware knowledge and skills to enable students to meet the challenges of IT profession. To facilitate faculty and students to carry out research work by providing necessary latest facilities and a conductive environment. To mould the students into effective professionals with necessary communication skills , team spirit , leadership qualities , managerial skills , integrity , social and environmental responsibility and lifelong learning ability with professional ethics and human values. Vision and Mission of the Institute: Vision of the Institute (VIIT): We envision to be recoginzed leader in technical education and shall aim at national excellence by creating comptent and socially conscious technical manpower for the current and future
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Engineering Knowledge: Apply the knowledge of mathematics science engineering fundamentals and mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems engineering problems. PO Problem analysis: Identify, formulate, review research Literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, and natural sciences, and engineering sciences PO Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural societal, and environmental considerations PO Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions PO Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
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The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice PO Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development and need for sustainable development. PO Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. PO Individual and team work: Function effectively as an individual and as a member or leader in diverse teams and individual, and as a member or leader in diverse teams, and in multidisciplinary settings. PO Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, and write effective reports and design documentation, make effective presentations, and give and receive clear instructions. PO Project management and finance : Demonstrate knowledge and understanding of the engineering and knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments. PO Life-long learning: Recognize the need for and have the preparation and ability to engage in independent and life- long learning in the broadest context of technological change.
x Agriculture plays an vital role in Indian economy but owing to changing climatic conditions, crops often get affected, as a result of which agricultural yield decreases drastically. If the condition gets worse, crops may get vulnerable towards infections caused by fungal, bacterial, virus, etc. diseases causing agents. The method that can be adopted to prevent plant loss can be carried out by real-time identification of plant diseases. Our proposed model provides an automatic method to determine leaf disease in a plant using a trained dataset of pomegranate leaf images. The test set is used to check whether an image entered into the system contains disease or not. If not, it is considered to be healthy, otherwise the disease if that leaf is predicted and the prevention of plant disease is proposed automatically. Further, the rodent causing disease is also identified with image analysis performed on the image certified by biologists and scientists. This model provides an accuracy of the results generated using different cluster sizes, optimized experimentally, with image segmentation. Our model provides useful estimation and prediction of disease causing agent with necessary precautions.
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S. No Content Page No 1 Introduction 1.1 Introduction to project 1.2 Purpose of the project
2 Literature Survey 4-
The research paper referenced in tells about the various techniques involved in detecting disease in a plant leaf through image processing techniques which involves image acquisition, pre-processing of image and segmentation steps. The paper discussed methods to determine the health status of each plant by considering the requirement of that plant. This method was used so that the chemicals are applied only to those plants which require this treatment. This method will result in reducing the expense on plant health to a larger scale. Aims at using real time applications to change captured RGB image to Grey scale images since it increases the clarity of the images and the disease is detected more efficiently. However, the paper discusses how diseases in a pomegranate plant can be detected by applying proper segmentation methods on the extracted images and identify the condition of a Pomegranate plant.
Visual symptoms in the leaves are used to detect diseases in leaves. There is need for an automatic system used for leaf disease detection because the disease cannot be detected by naked eye. Our technology has grown to such an extent that a machine is capable enough to predict the disease by looking at a high definition image of that leaves at its early stage itself. The objective of our research is to find out the disease in a leaf. This process of detection can be performed using image processing techniques which is method of forming a signal processing for an inputted image by a scientist.We have used R programming language for implementing image processing of the diseased leaf and predicting the disease. The dataset used in our experiment contains images of infected and healthy pomegranate leaves. Model Setup In order to conduct our experimentation, the dataset of plant leaf diseases is taken from which is composed of 5358420 images of a single leaf disease. All the photographs present on this site are clicked by professional photographers to provide an easy access to educational applications.
The organization covers invasive species, forestry, agriculture and the images chosen for this research are selected from an entire collection of 5359752 images as shown in the figure. Model Libraries This section provides list of R libraries that were used to implement proposed automated disease prediction model. Fig .1 Datasets
contagious sickness on plant leaves. Various strategies have been For natural product crop, k-means grouping is the division technique utilized , surface elements have been centered around and ordered utilizing ANN and nearest neighbor algorithms. For vegetable yields, chan-vase strategy utilized for division, nearby paired designs for surface component extraction and SVM and k-closest calculations for order. For business crops have been fragmented utilizing get cut algorithm. Wavelet based feature extraction has been taken on utilizing Mahalnobis distance and PNN as classifiers. For oat crops have been portioned utilizing k-means grouping and vigilant edge finder.Color, shape ,texture ,color texture and random transform features have been extracted. SVM and nearest neighbor classifiers used.
Fig. 3 Flowchart
