agBOT @ Purdue University
This project will be competing in the agBot challenge at Purdue University, Indiana. This competition attracts many teams from companies and universities across North America. The objectives of the competition are to create an autonomous machine capable of navigating a corn field to identify weeds and analyze crop health. Upon identification of the corn plant, the machine should determine if the plant is healthy or in distress which requires fertilizer to be applied by the machine. Upon identification of a weed, the machine should eradicate the weed chemically and/or mechanically. The competition will be judged by reputable members of the agricultural technology industry, such as The Climate Corporation (Monsanto), and Blue River Technology.
You can find more information at: https://ag.purdue.edu/agBOT/
We are looking for highly self motivated individuals who are ready to take on this challenging yet rewarding project. This new team provides a start-up like environment. The multidisciplinary projects give you the hands-on experience to tackle any engineering problem. Members of the team will take part in highly collaborative projects in two major categories, robotics and automation. Members will get the opportunity to go through the engineering design process including studying and researching the problem, engaging stakeholders, developing potential solutions, prototyping, sourcing materials and constructing a working product.
NEW Fall 2019 Recruitment
This year we will attempt to complete a simple, functioning protype of the AgroBot. This will entail 10-15 hours of work every week. Most will be accomplished on the weekends.
Previous technical experience is not required but will be considered an asset.
Engineering Positions Avaliable:
- Wireless Communication System Team Member :
- Designing and building a transportable transceiver system allowing medium/long distance communication with the AgroBot.
- Navigation System Team Member :
- Developing an onboard navigation system through use of GPS, IMU, and image recognition technologies.
- Image Recognition System Team Member :
- Developing a high accuracy image recognition system using machine learning for weeds and crop detection.
- Chassis Design Team Member :
- Designing and constructing the AgroBot chassis and powertrain system.
- Exterminating Mechanisms Team Member :
- Designing and building the AgroBot's precision exterminating mechanisms (pesticide and mechanical).
- Web Developer :
- Developing and maintaining a website to showcase our project and highlights to students and potential sponsors.
Deadline to Apply: September 12th, 11:59pm
If you have any questions regarding the project or recruitment, please email: [email protected]