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.
2025-06-28 16:32:10 - Adil Khan
Disease Assessment in plants through visual Attributes
Project Area of Specialization Artificial IntelligenceProject SummaryThe 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 ObjectivesWe 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.
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 ProjectDetection 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 DeliverableBy 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 Software SystemCore Industry AgricultureOther Industries IT Core Technology Artificial Intelligence(AI)Other Technologies Artificial Intelligence(AI)Sustainable Development Goals Good Health and Well-Being for PeopleRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 60000 | |||
| Nvidia gtx 1060ti 6gb DDR5 with accessories | Equipment | 1 | 60000 | 60000 |