Weed detection for site-specific weed management: mapping and real-time approaches

By Francisca López-Granados. 2011

356 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Plant Science

View Paper: https://www.semanticscholar.org/paper/c354701f5b983ef31a6a94b92deb145c3f75d845

How researchers see this paper

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

In Ecology

1. Ngozi C. Eli-Chukwu

In Global and Planetary Change

1. Ngozi C. Eli-Chukwu

In Plant Science

1. Ngozi C. Eli-Chukwu

Citations in the corpus

• Applications of Artificial Intelligence in Agriculture: A Review (2019, background): “[68] UAV High rate of weed detection within a short period of time.”
• Evaluation of UAV imagery for mapping Silybum marianum weed patches (2017, background): “As a generic rule, at least four pixels per object (weed or weed patch) have been suggested as the optimum resolution in weed mapping (Hengl 2006; López-Granados 2011).”
• Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture (2020, background): “Review studies LÓPEZ‐ Granados [224] Discussed the high potential of hyperspectral remote sensing images for mapping weeds but also indicated the limitations of this technology due to the high cost of data collection.”