Kissan Dost

Project Title

Kissan Dost

Project Area of Specialization Artificial IntelligenceProject Summary

Kissan Dost is a digital breakthrough in the agriculture sector that will transform our current agricultural practices.

Through this app, Kissan (farmers) will be able to get on-spot health updates on their crops. The app will be the first of its kind to analyze the crop by using the mobile app and tell about the disease and soil fertility rate. Apart from this, the Kissan Dost will provide a platform for agricultural specialists to provide online counseling to farmers rather than visit physically. This will provide more help to farmers to discuss their problems with the expert.

Project Objectives

1. To Provide a facility for Stage wise disease detection to farmers to take appropriate measures in a timely manner to avoid crop damage.
2. To Provide a facility for Soil Detection using IoT sensors to measure the soil health by determining the moisture of the soil for the crop production
3.  To provide Region-based weather updates to keep farmers informed about the weather condition of their region in order to take appropriate measures for crops accordingly.
4.  To provide an online Farmer advisory service to educate farmers about modern agriculture practices.
5.  To provide Pesticides e-store to the farmers to order and receive the required pesticides with convenience, ease, and in a timely manner.
6.  To provide the facility of a Fertilizer calculator to tell farmers about the amount of fertilizer needed to get the desired yield based on humidity, temperature, and soil wetness sensors.

Project Implementation Method

We will create a mobile application through which the farmer will take the picture of his crop. That picture will then be analyzed by our AI-based agent which will identify the diseases present in the crop. Once identified, the app will also suggest suitable pesticides and will direct the farmer to our web-based e-store. In addition to that, IoT-based sensors will be used to detect the fertility of soil making our project an all-in-one agriculture solution.

Benefits of the Project

•  The project will troubleshoot ll-timed disease detection in crops leading to large-scale crop destruction and wastage.
• Will provide timely access to pesticides to treat and prevent crop diseases.
• Will inform Farmers about the fertility level of soil which will save the time and resources spent on barren lands.
• Will educate farmers about the modern farming practices.

Technical Details of Final Deliverable

In the final, our project will technically work with some sensors, mobile application, and devices by using machine learning algorithms

• It will predict crop disease
• It will suggest proper medicines/pesticides against the detected disease.
• It will provide weather updates.
• It will provide soil information about the soil’s pH level.
• It will measure moisture in the soil.
• It will predict disease one each stage of the crop.

This system will provide an online forum for discussion between agricultural experts and farmers            

Final Deliverable of the Project HW/SW integrated systemCore Industry AgricultureOther Industries IT , Food Core Technology Artificial Intelligence(AI)Other Technologies Internet of Things (IoT), OthersSustainable Development Goals No Poverty, Decent Work and Economic Growth, Responsible Consumption and ProductionRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	76238
Nodemcu ESP8266	Equipment	1	3750	3750
Soil Moisture Sensor	Equipment	5	350	1750
Relay Module 5V	Equipment	2	150	300
Temperature on Ground (DS18B20 Temperature Sensor Module Kit Waterproo	Equipment	5	330	1650
Google Colab (6 Months Subscription)	Equipment	6	1856	11136
Sun Light Sensors	Equipment	5	290	1450
API management Gateway (Oracle)	Equipment	2	555	1110
Subscription (72 Hours Required) 8x NVIDIA A100 Tensor Core	Equipment	72	560	40320
Subscription of Amazon Aurora Database (For 6 months)	Equipment	6	962	5772
Printing & Others	Miscellaneous	50	180	9000