This respository contains a list of all the papers and respositories I've read by month with the relevant notes for any machine learning and computer vision concepts related to weed detection and herbicide resistance. There is likely to be a specific focus on deep learning with additional sections on herbicide resistance management. The target is to read and take notes on 30 new papers per month, or roughly one per day.
The links below direct to the notes and the original source of the paper from whichever publisher is used. The archiv link is provided where relevant.
- An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture | arxiv (submitted to PLoS One) | 2020 | Becka et al.
- Adopting epidemiological approaches for herbicide resistance monitoring and management | Weed Research Journal | 2020 | Comont and Neve
- Recurrent selection with reduced herbicide rates results in the rapid evolution of herbicide resistance in Lolium rigidum | Theoretical Applied Genetics | 2004 | Neve and Powles