Precision Farming
Wireless Sensor networks (WSNs) are greatly applied in agriculture practices for sense farm inputs like fertilizers, irrigation requirements, pesticides and environmental parameters. These parameters are processed and analyzed to determine the right amount of farm inputs for managing and improving c
2025-06-28 16:34:34 - Adil Khan
Precision Farming
Project Area of Specialization Artificial IntelligenceProject SummaryWireless Sensor networks (WSNs) are greatly applied in agriculture practices for sense farm inputs like fertilizers, irrigation requirements, pesticides and environmental parameters. These parameters are processed and analyzed to determine the right amount of farm inputs for managing and improving crop yield. Our project focuses on feature detection using machine learning classifiers by employing Raspberry Pi as base station for in-situ sensors in field. Following is the frame work of our proposed project:
(https://drive.google.com/file/d/1cABYmqoZv1H57SVPTpXVb_9Gi6j6mxR8/view?usp=sharing)
Project ObjectivesTo synthesis the theorotical and practical skills learns during BE.
To introduce automation and technolgies at low cost to farmng
To design feature extraction system for crop identification
Project Implementation MethodFeature detection using machine learning classifiers by employing Raspberry Pi as base station for in-situ sensors in field. Following is the frame work of our proposed project:
(https://drive.google.com/file/d/1cABYmqoZv1H57SVPTpXVb_9Gi6j6mxR8/view?usp=sharing)
Benefits of the ProjectFarm Autoamation and better descisions for crop managemnt and imrovment.
To learn to manage technical project
Technical Details of Final DeliverableFeature detection using machine learning classifiers by employing Raspberry Pi as base station for in-situ sensors in field. Following is the frame work of our proposed project:
Final Deliverable of the Project HW/SW integrated systemCore Industry AgricultureOther Industries IT Core Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Life on LandRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 78000 | |||
| Rapsberry Pi | Equipment | 4 | 10000 | 40000 |
| Raspberry Pi Camera | Equipment | 4 | 5000 | 20000 |
| SD Card for Raspberry PI | Equipment | 4 | 1500 | 6000 |
| Miscellaneous | Miscellaneous | 1 | 10000 | 10000 |
| Raspberry Pi Power Source | Equipment | 4 | 500 | 2000 |