| Idea Name: |
cot yeilder |
| Slogan: |
increase cotton production smartly |
| Supervisor Name: |
muhammad tariq saeed |
| Supervisor Designation: |
assistant professor |
| Supervisor School: |
RCMS |
| Supervisor Department: |
ms bioinformatics |
| Contact number: |
0302 8671230 |
| Email ID: |
[email protected] |
| Abstract: |
| it is a smart system driven by machine learning models inorder to check healthy and unhealthy cotton crops along with is associated diseases. this will help increase cotton production in pakistan |
| What is the unmet need in society that your idea will fulfill ? |
| cotton production is way lower than it was in back in 1990s so inorder to sustain our agriculture and textile indusrty our smart system will help farmers to increase the demand . |
| Who needs it ? How many would benefit ? |
| agriculture related people who specifically do cotton farming.
|
| How will the solution works |
| it will use machine learning algorithms inorder to detect the defective cotton flowers and also detect cotton related diseases by capturing images through mobile and drones. it will use open cv to train the model. we will use data from research institutes like narc too. |
| Who are your competitors ? How is your solution different |
| our competitors are from Israeli startup known as agri scout which focus only on diseases and pest ur system wil detect cotton yeild and its diseases to so that farmers can detect bad cotton in there fields and improve after wards |
| Status: |
new |
| Entry Date & Time: |
2020-12-20 (1707) |
