SMART AGRICULTURE SYSTEM
The world population is increasing at a daunting pace. Providing the basic necessities of life for such a huge population is a great challenge. The most basic requirement for any human being is good nutrition. However, due to the increasing population, the old and traditional farming methods are pro
2025-06-28 16:29:06 - Adil Khan
SMART AGRICULTURE SYSTEM
Project Area of Specialization Internet of ThingsProject SummaryThe world population is increasing at a daunting pace. Providing the basic necessities of life for such a huge population is a great challenge. The most basic requirement for any human being is good nutrition. However, due to the increasing population, the old and traditional farming methods are proving insufficient for providing food in bulk quantities. Fortunately, by making use of the latest agricultural techniques as well as smart electronics technology we can increase efficiency and productivity too far higher levels which can ensure our food security.
Project Objectives1. To update farmers with the new technology and to avoid manual labor.
2. To reduce wastage of water and enhance productivity of crops by providing them ideal condition.
3. To meet the difficulties such as severe weather conditions and advancing climate change, and environmental consequences resulting from intensive farming practices.
4. Design a model and connect it to the android app and cloud server.
The basic building blocks of an IoT System are Sensors, Processors and applications. So the block diagram below is the proposed model of our project which shows the interconnection of these blocks.
The sensors are interfaced with Microcontroller; data from the sensor is displayed on the mobile app of the user. Mobile app provides an access to the continuous data from sensors and accordingly helps farmer to take action to fulfill the requirements of the soil.
IoT empowers simple gathering and the executives of huge amounts of information which is gathered from sensors used and with the help of joining of distributed evaluating administrations such as cloud storage, farming field maps and more information can be retrieved from any place and everywhere which enables live monitoring and connectivity which is end to end.
? IoT is viewed as an important segment for smart farming because with precise use of sensors and also the smart gadgets, farmers could expand the output by 72% up to year 2050 as delineated by specialists.
? By the use of IoT creations expenses could be diminished to an astounding dimension that would thus expand productivity and survivability.
? By the use of IoT efficiency level would be further expanded as far as utilization of water, soil, fertilizers, pesticides etc.
Applications of IoT in Agriculture
? Precision farming
? Agricultural drones
? Livestock monitoring
? Smart greenhouses
CONCLUSION AND FUTURE SCOPE
Conclusion
The proposed model explores the use of IoT (Internet of things) in the agriculture sector. This model aims at increasing the crop yield by helping in predicting better crop sequence for a particular soil. Thingspeak helps in real time sampling of the soil and hence the data acquired can be further used for analysing the crop.
We have also taken many readings of the soil moisture, temperature and humidity of the environment for various days at different times of the day. Data on the cloud also helps the agriculturists in improving the yield, evaluating the manures, illness in the fields. This system is cost effective and feasible.
It also focuses on optimizing the use of water resources which combats issues like water scarcity and ensures sustainability. This model focuses on the utilization of IoT in agriculture and the solutions proposed in this paper will improve farming methods, increase productivity and lead to effective use of limited resources.
Future Scope
The future scope of this project could be including variety of soil sensors like pH sensor, Rain sensor and then collecting and storing the data on cloud server. This would make the predicting and analysing processes more accurate. It also includes making different data mining algorithms suitable for data analysis in agriculture
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 69400 | |||
| MQ136 GAS SENDOR | Equipment | 12 | 500 | 6000 |
| breadboard | Equipment | 12 | 200 | 2400 |
| Arduino Uno | Equipment | 12 | 2000 | 24000 |
| 16x2 LCD | Equipment | 10 | 600 | 6000 |
| 10K potentiometer | Equipment | 12 | 200 | 2400 |
| 1K ohm resistors | Equipment | 10 | 360 | 3600 |
| 220 ohm resistor | Equipment | 20 | 300 | 6000 |
| Buzzer | Equipment | 20 | 350 | 7000 |
| Wi-fi module ESP8266 | Equipment | 12 | 1000 | 12000 |