Autonomous Data collection Robot for orchards

Project Title

Autonomous Data collection Robot for orchards

Project Area of Specialization RoboticsProject Summary This project presents data collection and navigation systems for a family of autonomous orchard
robots. The systems are customized to enable safe and reliable driving in planting environments.
The data collection system is based on a camera sensor composed of a wheel and steering controller,
and algorithms that process the sensor data and output the guidance commands for line following
robots. In a line following robot it uses line following technique in which IR sensors senses the
color and follows the colored line. This robot captures the image of plants, identifoes it and
measures their height and find disease on plants. The data then collects in the controller and
shows output on the mobile through wireless WIFI. Time trials showed that the autonomous
orchard robots enable efficiency gains of up to maximum percentage for data collection of
orchard tasks conducted on plants when compared with the same task performed by a group of
people. Project Objectives Following are the objectives of this Project:

• Design distinct sensing and actuation technology for a new generation of steerable catheters, featuring unprecedented levels of control and which are inherently safe in a fragile and dynamic environment.
• Establish a leap in interpretability, radically improving the farmer’s awareness of the plant’s disease by adding an extra layer of information about the plant’s unhealthy details, which are automatically identified through an image processing technique.
• Enable precise autonomous navigation through an unstructured and dynamic environment, based on programming and artificial intelligence.

Project Implementation Method This project works autonomously using the line following technique. The whole robot follows the black line and travels along the orchards. The camera that is mounted on the robot captures the image of objects, i.e. plants and their leaves. By using the image processing technique and artificial intelligence approach it identifies the disease on plants and is also able to measure its height. The robot then collects the data and shows it on a smart device using wireless WIFI.   Benefits of the Project There are a lot of benefits of this project. Some of them are as following:

• Increase efficiency and productivity.
• Reduce error, re-work, and risk rates.
• Perform lower value, mundane tasks so humans can work collaboratively to focus on more strategic efforts that cannot be automated.
• Reduce labor costs and increase productivity.

Technical Details of Final Deliverable There are several critical technologies behind safe and efficient autonomous-robot operation. The technology advances enabling smarter autonomous robot, as mentioned, include:

• Small, low-cost, and power-efficient sensors. These allow mobile and remote devices to capture and transmit huge amounts of data.
• Faster cloud computing algorithms and broadband wireless communications allow organizations to store, process, and access huge amounts of sensor data almost instantly, from any access point.

In this project the main controller, Raspberry pi controls the whole robot’s operation including controlling of motors, sensor’s input reading, image detection through camera and gives a friendly output. The programming on the Raspberry pi is in Python language, in which different kinds of libraries are included to perform various tasks. Final Deliverable of the Project Hardware SystemCore Industry AgricultureOther Industries Telecommunication Core Technology RoboticsOther Technologies Artificial Intelligence(AI), Internet of Things (IoT)Sustainable Development Goals Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	74190
Raspberry pi	Equipment	1	25500	25500
Raspberry Pi 4 Case, with Cooling Fan and Heat sink	Equipment	1	1250	1250
IR sensor	Equipment	3	120	360
Raspberry Pi Camera Module V2 8 Megapixels	Equipment	1	9000	9000
Raspberry Pi 4 Power Supply	Equipment	1	700	700
4WD Robot Chassis	Equipment	1	1500	1500
DC motors	Equipment	4	480	1920
L293d Motor Driver Module	Equipment	2	300	600
Jumper wires	Equipment	2	120	240
Robot Wheels	Equipment	4	80	320
12V Dry DC Battery	Equipment	2	2650	5300
LCD Monitor 720 for Raspberry pi	Equipment	1	9000	9000
YDLIDAR X4 360° Laser Range Scanner Laser Radar Scanner Sensor Module	Equipment	1	14000	14000
raspberry pi delivery charges	Miscellaneous	1	500	500
printing the PCB for controller	Miscellaneous	1	4000	4000