Design and Implementation of Smart Farming
The integration of modern information technologies into industrial agriculture has already contributed to yield increases in the last decades. Nowadays, the emerging Internet of Things (IoT) along with Wireless Sensor Networks (WSNs) with their low-cost sensors and actors enable novel applications a
2025-06-28 16:26:25 - Adil Khan
Design and Implementation of Smart Farming
Project Area of Specialization Internet of ThingsProject SummaryThe integration of modern information technologies into industrial agriculture has already contributed to yield increases in the last decades. Nowadays, the emerging Internet of Things (IoT) along with Wireless Sensor Networks (WSNs) with their low-cost sensors and actors enable novel applications and new opportunities for a more precise, site-specific, and sustainable agriculture in the context of Smart Farming. In this paper, we present a holistic agricultural monitoring system, its design, and its architectural implementation. The system primarily focuses on in-situ assessment of the leaf area index (LAI), a very important crop parameter. Moreover, we introduce real-world challenges and experiences gained in various deployments. Finally, first results are exemplarily demonstrated in order to briefly address the potential of our system.
. By implying an automated system we can eliminate possible threats to the crops by reducing the human intervention. The major emphasize will be on providing favorable atmosphere for plants. These agricultural automated systems will help in managing and maintain safe environment especially the agricultural areas. Environment real time monitoring is an important factor in smart farming. A GUI based software will be provided to control the hardware system and the system will be entirely isolated environment, equipped with sensors like temperature sensor, humidity sensor, photo emitter.
Project Objectives- Generate Income
- Improve Agricultural Development
- Adopt Modern Technologies
- Address Social Welfare Activities
- Reduce Poverty
- To Access Markets and Good Prices
The objectives of Smart Farming include the analysis of the Methodological Training Tools in Marketing training programme and materials, their adaptation to the requirements of the target group and project countries; sharing experiences in smart farming practices training and development of new (e-) learning contents.
Project Implementation MethodA case-study approach was adopted to conduct this exploratory project. The methodology used in this project is the System Development Life Cycle Model (SDLC). The phases involved in the SDLC are; system planning, system requirements analysis, system design, coding and testing of the system. Figure shows the SDLC phases.
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- Increased work efficiency. One of the greatest things about Smart Farming is its potential to save valuable time.
- Improved fuel efficiency. Smart Farming allows farmers to be much more precise.
- Reduced consumables.
- Increased yields.
- Solar powered and mobile operated pumps save cost of electricity.
- Reduce water consumption.
- No chemicals or pesticides.
- Unaffected by adverse weather conditions.
- Better use of space.
- Reduce transport costs.
It will be delivered in fully running form with complete software and hardware.
Final Deliverable of the Project HW/SW integrated systemCore Industry AgricultureOther Industries IT Core Technology Internet of Things (IoT)Other Technologies RoboticsSustainable Development Goals Decent Work and Economic GrowthRequired Resources| Elapsed time in (days or weeks or month or quarter) since start of the project | Milestone | Deliverable |
|---|---|---|
| Month 1 | Deliver only hardware parts with some assembling | 30 days |