Disease Assessment in plants through visual Attributes
The aim of the project is tou evaluate, implement and design image processing software that can be used for classification and detection of plant diseases.
Project Title
Disease Assessment in plants through visual Attributes
Project Area of Specialization
Project Summary
The aim of the project is tou evaluate, implement and design image processing software that can be used for classification and detection of plant diseases.
Project Objectives
We will present accurate, cheap, automatic and fast processing based solution.
- To detect plant fruit stem and leaves disease
- Identify color and boundaries or affected plant.
- Identify the visible effects of pollutants on plants.
Project Implementation Method
By using convolutional neural networks and tencerflow libraries via using python we will make predictions on the given data set of plants.
Benefits of the Project
Detection of disease by this automatic technique will be very helpful to reduce the work of examining the large areas of crops at very early stage of disease. Automatic detection of disease by just seeing the syptoms on plants leaves make it easier as well as cheaper.
Technical Details of Final Deliverable
By training the model using high GPU we will predict the plants disease by giving input image to our smart system.
Final Deliverable of the Project
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Nvidia gtx 1060ti 6gb DDR5 with accessories | Equipment | 1 | 60000 | 60000 |
| Total in (Rs) | 60000 |
If you need this project, please contact me on contact@adikhanofficial.com
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