A survey of image processing techniques for plant extraction and segmentation in the field

By Esmael Hamuda, Martin Glavin, Edward Jones. Computers and Electronics in Agriculture, 2016

531 citations recorded by the source corpus.

Subfields: Plant Science

View Paper: https://www.semanticscholar.org/paper/625b47efe463898ff1ad7579a4ae45532aa9aaa1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Plant Science

1. Cyrill Stachniss
2. Andres Milioto
3. Philipp Lottes
4. Johan Potgieter
5. Muhammad Hammad Saleem
6. Khalid Mahmood Arif

Citations in the corpus

• Real-Time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs (2017, methodology): “In addition to the crop weed classification, several approaches have been developed for vision-based vegetation detection by using RGB as well as multispectral images, e.g., [4], [6], [11], [21].”