| Idea Name: |
Precision Farming. |
| Slogan: |
Smart Farming, Its Time! |
| Supervisor Name: |
Dr Zuhair Zafar |
| Supervisor Designation: |
Assistant Professor |
| Supervisor School: |
SEECS |
| Supervisor Department: |
SEECS |
| Contact number: |
03224505199 |
| Email ID: |
[email protected] |
| Abstract: |
| Pakistan is an agrarian country with major economic dependency on agriculture. This project focuses on using Unmanned Arial Vehicle for collecting multispectral and RGB imagery and fusing it with on ground IOT sensors to infer pest stress and crop health. The farmer does not need to apply pesticide to the whole crop rather he can find the hotspots in the crop and control disease before time. |
| What is the unmet need in society that your idea will fulfill ? |
| Pests attacks and plant diseases are crucial factors in optimizing crop yield. In Pakistan, lack of use of technology to control pest attacks render production of crops rather ineffective. Development of scalable and commercially feasible prototype for estimation of crop health is dire need of hour. |
| Who needs it ? How many would benefit ? |
| Ample amount of food is basic need of humanity. In spite of having tremendous potential, the World is facing shortage of food. If we deploy our solution to control plant disease and enhance crop production, it would beneficial for whole mankind. |
| How will the solution works |
| The overall prototype development starts with dataset development. The dataset will consist of multiple streams. There would be multispectral imagery captured through UAV fused with on-ground IoT sensors. After data collection, orthomosaics and several indices will be computed. They will be give information about part of crop having less vegetation and chlorophyl content. Multi Modality datasets would be used to train CNNs along with sequential data for RNNs to give hotspots of diseased areas. |
| Who are your competitors ? How is your solution different |
| In local market, there is no such competitor. Our solution in novel as it reduces human labour and introduces precision and efficiency in farming. The cost of prototype is less as compared to international players because of less onboard computational requirements. |
| Status: |
new |
| Entry Date & Time: |
2022-12-15 (1258) |
