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G. H. Raisoni College of Engineering, Nagpur

Department of Electronics & Telecommunication Engineering

(Session: 2021-22)

Project Phase II

Name of Student:

Yash Wargantiwar (C 31)

Yash Deshmukh (C 32)

Asita Orke (C 33)

Taruna Pakhare (C 34)

Kartik Kamdi(C 35)

Bhavesh Kakrotra (C 36)

Name of Mentor:

Prof. Abhijit S. Titarmare

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Topic : AI powered Drone for agriculture

Agriculture drone are the most promising technology for the farmers, this are features we are looking forward to add in our drone to make it easy for farmers to use the drone in there farms:

Plant health monitoring system
Plant disease detection and solution
Drone based object detection in farms
AI controlled drone

So resolving all this problem could make the farming easy for farmers with less effort and total care of plants

In this service we would commanding drone to fly over the farms and this drones will check each plants health by scanning the leaves and detecting the affected plants with proper solution of the disease.

This drones will also help in monitoring plants health by providing water and nutrients on fixed rate if required.

There are risks of wild animals intruding into the farms so this drones will alert the farmer beforehand to take proper action.

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Rules for Flying the Drone

The government has now announced the Drone (Amendment) Rules, 2022 which says that remote pilot certificate (earlier it was called licence) will not be required for flying small to medium size drones of up to 2kg for non-commercial purposes.
Ministry has issued a series of guidelines under the “Sub-Mission on Agricultural Mechanization” (SMAM) which aims to support farmer producer organisations, Krishi Vigyan Kendras, custom hiring centres, and individuals.
According to the SOP, drone operators will need to obtain a Unique Identification Number (UIN) and Unmanned Aircraft Operator Permit (UAOP) from DGCA before initiating any kind of operation.
Farmers Producers Organisations (FPOs) are eligible to get grants up to 75 percent of the total cost of agriculture drones.
Subsidising the cost of owning drones is likely to propel the use of technology among farmers, and certain bodies will be responsible to reach out at the ground level for its widespread use.
The Union government approved a production-linked incentive (PLI) scheme for drones and drone components.
Ministry of Agriculture & Farmers Welfare, (Department of Agriculture & Farmers Welfare) in consultation with all the stakeholders of this sector, has brought out Standard Operating Procedures (SOPs) for use of drones in pesticide and nutrient application that provides concise instructions for effective and safe operations of drones.

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Drone for Farming and Healthcare

Agras T30

With a 30 liter spraying tank, the DJI Agras T30 takes aerial spraying efficiency to new heights. A revolutionary transforming body enables more effective spraying, especially for fruit trees. Using DJI digital agriculture solutions, the T30 helps reduce fertilizer use and increase yield with effective, data-driven best practices.

Price : 30L

AI powered drones

The drones are equipped with GPS systems and cameras that allow them to fly over every part of the field that needs to be inspected and take images. So once the crops have been planted and started to grow, farmers implement this technology and give a certain flight path based on the area they want to survey.

Price: 76L

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Limitations of agriculture drones available in market

First and foremost limitations is the price of drone, farmers can't afford high prices drone so this make the less usage of agriculture drones with highly advanced features.
For detecting disease of infected plant drone should be inbuilt with high quality cameras making rise in price of the drone.
Hi-tech drone cannot be used by farmers since it requires basic knowledge and skills to operate the agriculture drones.
Sometimes excess spray of fertilizers and water through drone can damage the plant.

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Proposed methodology

Agriculture Drone

AI controlled

(Using OpenCV)

Plant Health monitoring

(Using IOT)

Plant disease detection

(Using OpenCV, CNN)

Object detection in farms

(Using Pycharm)

For farmers to easily use the drone without any remote control

Health monitoring using mobiles and avoid using hi-tech cameras

Disease detection through mobiles app

Alerting by providing notifications on mobiles beforehand