Autonomous Data collection Robot for orchards

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Project Title

Autonomous Data collection Robot for orchards

Project Area of Specialization

Robotics

Project 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 System

Core Industry

Agriculture

Other Industries

Telecommunication

Core Technology

Robotics

Other Technologies

Artificial Intelligence(AI), Internet of Things (IoT)

Sustainable Development Goals

Industry, Innovation and Infrastructure

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com