Projects / AI Innovation Challenge

Detecting Weed Through Edge Computer Vision

Project completed! Results attached!

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Impact-driven startup Weedbot is developing a laser weeding machinery for farmers that can localize plants, distinguish between crops and weeds and remove weeds with a laser beam. 50 technology changemakers built machine learning models to facilitate pesticide-free food production.


The use of laser weeding can have a significant impact by reducing the need for chemical herbicides, leading to a reduction in soil and groundwater pollution. This can enable pesticide-free food production, making organic food more affordable and encouraging people to adopt a healthier lifestyle.

Project outcomes

The team successfully developed a high-speed plant image recognition neural network that meets the necessary input and output requirements for real-time weed segmentation with a precision of 1-2mm. The model has a speed of 12ms per image or faster, achieving recognition precision of 100-110% of crop polygon, which means that up to 10% false positives are allowed. The captured image can cover a 200x200mm working area with carrot seedlings as the object to be recognized. All carrots are recognized by the software, and up to 10% false positives are acceptable. The weed segmentation can be done by the same AI that detects carrots or a separate script like PlantCV. These achievements will facilitate the implementation of laser weeding technology, which can reduce or even eliminate the use of chemical herbicides, leading to pesticide-free food production and promoting healthy lifestyles.

Sample image with annotated carrots: 

ai weed laser

Insight from Weedbot CEO on the project

Your benefits

Join a thriving AI community in 85 countries

Work with changemakers from around the world

Adress a real-world problem with your skills

Build up your skill-set while setting the stage for a meaningful career


Good English

A good/very good grasp in computer science and/or mathematics

Student, (aspiring) data scientist, (senior) ML engineer, data engineer, or domain expert (no need for AI expertise)

Programming experience with C/C++, C#, Java, Python, Javascript or similar

Understanding of ML and Deep learning algorithms

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