Kisaan buddy
Kisaan?s Buddy is based on Internet of Things (IoT) paradigm revolutionizing the conventional ways of agricultural activity with the deployment of various sensors (such as temperature, humidity, soil, moisture etc) within the agricultural field, collecting the sensed data, and sending it over to the
2025-06-28 16:33:56 - Adil Khan
Kisaan buddy
Project Area of Specialization Internet of ThingsProject SummaryKisaan’s Buddy is based on Internet of Things (IoT) paradigm revolutionizing the conventional ways of agricultural activity with the deployment of various sensors (such as temperature, humidity, soil, moisture etc) within the agricultural field, collecting the sensed data, and sending it over to the cloud. The "Rule-based engine" can be designed applying Artificial Intelligence (AI) techniques for the available cloud data based on these parameters to recommend the right time for irrigating land based on the real time conditions and would command to switch on the water pump without human interference. Extending the same concept, the cloud can collect the sensor data along with weather data for over a year. The "predictive-engine" can be designed to further suggest the type of crops to plant in that specific area, the water requirements etc, and again control the complete system accordingly.
Project ObjectivesKisaan’s Buddy is based on Internet of Things (IoT) paradigm revolutionizing the conventional ways of agricultural activity with the deployment of various sensors (such as temperature, humidity, soil, moisture etc) within the agricultural field, collecting the sensed data, and sending it over to the cloud. The "Rule-based engine" can be designed applying Artificial Intelligence (AI) techniques for the available cloud data based on these parameters to recommend the right time for irrigating land based on the real time conditions and would command to switch on the water pump without human interference. Extending the same concept, the cloud can collect the sensor data along with weather data for over a year. The "predictive-engine" can be designed to further suggest the type of crops to plant in that specific area, the water requirements etc, and again control the complete system accordingly.
Project Implementation MethodArtificial intelligence is used in this project with the help of IOT. Hardware intigration and Android app.
Benefits of the ProjectReduce farmer's power.
Increase production of the crops.
Move society from manual system to smart system.
Smart farming techniques.
This system will tell the farmer, which crop is suitable to irrigate in this field and in which environment and also tell the right time of irrigation and harvest.
Technical Details of Final DeliverableArtificial intelligence engines.
Hardware integration etc.
Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther Industries Agriculture Core Technology Internet of Things (IoT)Other Technologies Artificial Intelligence(AI)Sustainable Development GoalsRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 14280 | |||
| ESP8266 | Equipment | 3 | 750 | 2250 |
| Soil moisture sensor | Equipment | 10 | 300 | 3000 |
| LCDs | Equipment | 2 | 200 | 400 |
| relay | Equipment | 4 | 220 | 880 |
| humidity sensor | Equipment | 2 | 220 | 440 |
| jumper wires | Equipment | 20 | 300 | 6000 |
| battery | Equipment | 5 | 200 | 1000 |
| Esp8266 cable | Equipment | 1 | 310 | 310 |