Now a day?s the farmers are not aware of current climate and weather changes, farmers in agriculture are facing a lot of problems like low per hectare yield, lake of irrigation facilities, water logging and salinity, lake of information about atmosphere fluctuations, just have rough idea of hum
E Cultivation Using IoT
Now a day’s the farmers are not aware of current climate and weather changes, farmers in agriculture are facing a lot of problems like low per hectare yield, lake of irrigation facilities, water logging and salinity, lake of information about atmosphere fluctuations, just have rough idea of humidity, temperature and moisture due to this they are unable to provide exact nutrients and they get low yield. A lot of agricultural activities are based on the predictions of human or farmer, which at times fails. The automation in agriculture can be done at very large scale like automation of vehicle, robotic labor to perform different tasks in filed and robots for cultivation and harvesting. But this project is established at small scale. This project aims to solve the above mention challenges of cultivation at small scale to meet the requirements of the modern world with help of Internet of Things and Predictive data mining. By using different sensors like humidity, temperature, PH, soil moisture, actuators like water pump buzzer and microcontroller raspberry pi and Arduino Uno. This will provide information to farmers that what weather is best for cultivation, by observing the soil nutrients it will analyze the soil of crop to inform about the required fertilizer. The system will be helpful for the whole life cycle of the crop. It has a great scope in agriculture field it will help us to monitor farm and crop growth in an efficient and easy way. This will provide accurate value of different parameters like humidity, soil moisture, water level etc. Besides this, it will help the farmer to monitor more than one agricultural land at the same time. As there will be a web base monitoring, it will help farmer to get information regarding their farm in. This project will reduce manpower. Generally, our project idea is feasible, which can be implemented and has a wide scope in terms of its application. It can be implemented at different scales from small to very large scale. It has web base graphical user interface on which data will be presented in different forms like in the form of animation gauges, graph base representation and text base. This whole system is basically for the automation in agriculture field which will reduce man power in difficult tasks and as well as in easy tasks. It main focus is on the following this to get more yield at the end of crop and can be analyzed what kind of nutrients will be required for the next crop and in how much quantity nutrients and water will be required and the second main thing is the farms or crops will be fully automated which will reduce the man power automatically.
Our project has following objectives
Our project has been divided into two parts the hardware and software. The software part consists of web, cloud, database and data analysis. While the hardware part consists of some sensors actuators and microcontrollers.
Tools and technologies which we are used in this project are mentioned below.
The methodology of our project is relies on Software Development Life Cycle (SDLC) usually it has three main stages planning, analysis and development.Our Final year project has three main phases form initial step to final implementation it has planning, implementation and analysis.
Data gathering is an important process and it comes under planning and it is the stage at which we gather different type of data related to the hardware and software, like checking the specification of the hardware which fits into our project while in case of software we have to study or gather information about the software’s which will be further used in the implementation and testing phases like Ardiuno IDE is required for coding and testing the hardware and to watch out results.
All the components are tested and then mounted on the prototype board by soldering. The mounting and soldering is done on prototyping board by using the circuit diagram as a guidence.In testing point we have tested the working of each equipment separately.
Analysis is done to check that circuit, inputs and outputs are working and connection and working of the overall circuit is checked in two steps which are mention below.
At the completion of project it will provide following functionalities to the users in the form of website to which user can access by having a user name and password and hardware and all sensors and instruments will be installed in the fields of farmers.
Our system is able to perform the following tasks for the easiness of farmers or clients.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Rasberry PI 3b+ | Equipment | 1 | 6000 | 6000 |
| Arduino | Equipment | 1 | 900 | 900 |
| PH sensor | Equipment | 1 | 5700 | 5700 |
| Soil Moisture sensor | Equipment | 2 | 300 | 600 |
| DHT11 | Equipment | 2 | 320 | 640 |
| Motion Sensor | Equipment | 2 | 250 | 500 |
| Distance Sensor | Equipment | 2 | 300 | 600 |
| Water Pump | Equipment | 1 | 400 | 400 |
| PCB Board | Equipment | 2 | 200 | 400 |
| Raspbery Pi charger+SD Card | Equipment | 1 | 1000 | 1000 |
| Wires+Flower Pot | Miscellaneous | 1 | 1000 | 1000 |
| Box for installation | Miscellaneous | 1 | 1000 | 1000 |
| Cutter+Glue+Nuts | Miscellaneous | 1 | 1150 | 1150 |
| Simple Printing+Report Book+FLex | Miscellaneous | 1 | 4350 | 4350 |
| All Soldering Material | Miscellaneous | 1 | 1500 | 1500 |
| Domain | Equipment | 1 | 1000 | 1000 |
| Server storage | Equipment | 1 | 1000 | 1000 |
| HDMI for PI | Equipment | 1 | 400 | 400 |
| Total in (Rs) | 28140 |
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