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Jackfruit Disease Recognition Using Computer Vision

Md. Robel Mia
ID: 152-15-5538; DAFFODIL INTERNATIONAL UNIVERSITY DHAKA, BANGLADESH MAY 2019

Mominul Islam Janik
ID: 151-15-4895, DAFFODIL INTERNATIONAL UNIVERSITY DHAKA, BANGLADESH MAY 2019

Abstract/ Executive Summary:

Agriculture is the mother of all cultures. It has played an important role in the development of human civilization. Bangladesh's economy depends on agriculture and a large number of people directly or indirectly related to this sector here. For this reason, the increasing demand in the agricultural industry, they need to effectively grow a plant and increase its yield is very important. In order to do that, it is important to monitor the field during its growth period, as well as, at the time of harvest. Fruit disease is a crucial cause that reduces the quantity and can degrade the quality of agricultural products. It is difficult and challenging to recognize the Jackfruit diseases manually. This paper represents various approaches for recognition and segmentation methods along with image acquisition, pre-processing, segmentation, feature extraction and classification for recognizing diseases. This disease recognition system uses an image database for training and testing. The images are recognized to their respective disease categories on basis of different features such as contrast, correlation, energy, homogeneity, mean, standard deviation, entropy, variance, skewness. In our proposed system, we are going to develop an integrated image processing system to help automated inspection of jackfruit and helps identify the disease type. This prototype has a very great potential to be further improved in the future

Keywords: Jackfruit, Disease, Recognition, Computer vision

Location: Daffodil International University Dhaka, Bangladesh

Start Date:

End Date:

Program Area: Pest Management

Commodity: Jackfruit, Diseases

Objectives:

The purpose of our project is to set up a demonstration that shows the exact output from our experimental designed project.

? To improve the demonstration of jackfruit illness.

? To acceptance the jackfruit illness using the computer vision-based IP (Image Processing).

? To set Image Processing formula to experiment with the model of jackfruit illness.

Methodology:

To increase the conduct of jackfruit diseases and also for a good skill for jackfruit, there should be a specific system to develop the system which recognizes the jackfruit disease, as a result, it will be benefited to the farmer as well as general people. Our proposed methodology contains predefined processing which means that take image, resize it and also removes the noise. Then its uses the segmentation method like k- means segmentation and uses the SVM classification to classify the disease of jackfruit. Theses this procedure is used to recognize as well as classify the jackfruit disease through this proposed method.

4.2. Research Contingent and Documents The major thing of our work is to begin the enchantment or promotion of jackfruit disease to recognize the proposed work that is being used image procedure for better planning. A very significant part is a pathway during disease analysis in the jackfruit disease detection system, which has not been done before in any other part. Disease analysis helps understand the disease properly, and give clues to appropriate feature. In this paper, we have deal with four types of diseases, which jackfruit disease frequently occur in Bangladesh namely: Rhizopus Fruit Rot, Jackfruit Pest and diseases, Leaf spot of jackfruit and Pink Diseases etc. Including Diseases free jackfruit. 4.3. Data Article Action In our project, we recognize jackfruit diseases by using image processing, so image collection is one of the essential parts of our project. We collect images from different sources some images captured by our camera, few images collected from the internet and also from BARI (Bangladesh Agricultural Research Institute), Kapasiya & Sripur. 4.4. Executional Needed To run the project there are some specific requirements to improve the proposed model and also make sure that the proper needed are fully filled to the initial phase. For this purpose we need Software obligation and also needed Hardware obligation.

Source of Information: Degree of Bachelor of Science in Computer Science and Engineering; DAFFODIL INTERNATIONAL UNIVERSITY; DHAKA, BANGLADESH; MAY 2019

Article Link (Online Journal):

Funding Source:

Budget:

Total Budget (Tk.) :

Achievement/Findings:

The project is implemented to reduce the waste of time & save money that would be helpful to general people. Since electricity is an essential part of our daily life. So we will try to implement such a project that will be helpful to the country as well as customers. We want to maintain the unreasonable situation related to the electric bills. Because there can be a consequential human fault to disturbed consumers who are not fulfilled about the service on the electric bill. So we do not want anything unexpected, which will cause us to suffer. We can say that overall people can easily solve the entire problem. Because of it, our work is easy to access and reliable. So to reduce the harassment & time of consumers as well as overall people, it is the best way to give the electricity bill by an online payment system. There is no need to go to the place forgive & taken the bill. For this purpose, we implement this project.

Knowledge Management: Thesis