Development and Assessment of Automatic Smart Irrigation System
Agriculture is becoming an important growing sector throughout the world due to increasing population. Major challenge in agriculture sector is to improve farm productivity and quality of farming without continuous manual monitoring to meet the rapidly growing demand for food. Apart from increasing
2025-06-28 16:26:38 - Adil Khan
Development and Assessment of Automatic Smart Irrigation System
Project Area of Specialization Internet of ThingsProject SummaryAgriculture is becoming an important growing sector throughout the world due to increasing population. Major challenge in agriculture sector is to improve farm productivity and quality of farming without continuous manual monitoring to meet the rapidly growing demand for food. Apart from increasing population, the climate change is also a big concern in agricultural sector.
Project ObjectivesDevelopment of soil moisture, salinity and nutrient sensors integrated with IoT.
Development of mobile application for visualizing the information for decision on irrigation and soil salinity and nutrient management.
Implementation of sensors probe in the field for the assessment of long-term accuracy and durability of sensors.
The purpose of this work is to propose a smart farming system based on Internet of Things (IoT) to deal with the adverse situations. The smart farming can be adopted which offer high precision crop control, collection of useful data and automated farming technique. This work presents an intelligent agriculture field monitoring system which monitors soil humidity and temperature. After processing the sensed data it takes necessary action based on these values without human intervention. Here temperature and moisture of the soil are measured and these sensed values are stored in Thing Speak cloud for future data analysis.
Real time field parameters measurement for better soil and crop management
IoT based agriculture system for increased crop and water productivity
Better crops and soil health
Socio-economic uplift of individuals as well the country
Hardware
Raspberry pi
Sensors
Auto pump
Software
Android Studio
Python IDE
VNC Viewer
Firebase
Languages
Java
Python
SQL
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 45000 | |||
| Resberry pi, solar plate, DC bettery, wires, stand, Evo, sensors, etc | Equipment | 15 | 3000 | 45000 |