Author:
Barreto Abel,Lottes Philipp,Ispizua Yamati Facundo Ramón,Baumgarten Stephen,Wolf Nina Anastasia,Stachniss Cyrill,Mahlein Anne-Katrin,Paulus Stefan
Funder
German Research Foundation
Subject
Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry
Reference34 articles.
1. Badrinarayanan, V., Kendall, A., and Cipolla, R. (2015). Segnet: a deep convolutional encoder-decoder architecture for image segmentation. Computing Research Repository (CoRR), abs/1511.00561.
2. Transfer learning between crop types for semantic segmentation of crops versus weeds in precision agriculture;Bosilj;Journal of Field Robotics,2019
3. Instance segmentation for the fine detection of crop and weed plants by precision agricultural robots;Champ;Applications in Plant Sciences,2020
4. Weed control in sugarbeet;Cioni;Sugar Tech,2010
5. UAV-based multispectral remote sensing for precision agriculture: A comparison between different cameras;Deng;ISPRS Journal of Photogrammetry and Remote Sensing,2018
Cited by
30 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献