EcoTerrabot is an affordable open source robot that initially aims at removing the weeds in the agriculture. It is capable of navigating across the crop rows autonomously. It can distinguish between a good and a bad plant and can mechanically destroy the weeds using a robotic manipulator precisely.
We are currently a 4 member team of highly self motivated and experienced mechatronics, robotics, software engineers along with environmental engineers and management professionals who share similar interests and passion towards agriculture, robots and sustainable future. Are you highly self motivated ?, passionate about open robotics and disruptive technologies ?, open minded ?, care about environment ?, want to contribute for the betterment of society ?, would like to be a part of the project and collaborate to bring this robot alive ?, then you are at the right place with right team. Please send us your details and interests to durga.nasika@tuhh.de (or) admin@ecoterrabot.com.
Our work Plant and Weed Identifier Robot as an Agroecological Tool Using Artificial Neural Networks for Image Identification got published in the Special Issue Journal Artificial Neural Networks in Agriculture.
BioThesis is a research award formed by group of industry research organisations and universities to support innovation in the field of organic industry that has an impact on the entire food value chain in future. It is a pleasure and honour to receive first place for our work.
With the available funds we are currently procuring the robot hardware and necessary equipment to bring the first version of the EcoTerrabot live.
We developed a real time deep learning based plant and weed identifier using state-of-the-art object detection techniques for three plant and weed species and extracted their stem coordinates in the image frame.
Using image processing techniques and opencv we developed a crop row detection technique that helps EcoTerrabot to navigate between the crop rows.
