Comparative classification analysis of post-harvest growth detection from terrestrial LiDAR point clouds in precision agriculture

By Kristina Koenig, Bernhard Höfle, Martin Hämmerle, Thomas Jarmer, Bastian Siegmann, Holger Lilienthal. 2015

64 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/85fe190d420031005ad71c20fa27ff84fa7f58f8

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. Roshanak Darvishzadeh
2. Andrew K. Skidmore
3. Sudhir Kumar Singh
4. Ram Lakhan Ray
5. Marco Heurich
6. Rajendra P. Sishodia
7. George Alan Blackburn

In Environmental Engineering

1. Sudhir Kumar Singh
2. Ram Lakhan Ray
3. Andrew K. Skidmore
4. Marco Heurich
5. Roshanak Darvishzadeh
6. Rajendra P. Sishodia

In Nature and Landscape Conservation

1. Andrew K. Skidmore
2. Marco Heurich

Citations in the corpus

• Applications of Remote Sensing in Precision Agriculture: A Review (2020, background): “LiDAR (1995) VIS (10 cm) N/A Topography, nutrient management [83]”
• Improving leaf area index (LAI) estimation by correcting for clumping and woody effects using terrestrial laser scanning (2018, methodology): “consisted of the most commonly used height-related features (Koenig et al., 2015), and local dimensionality features (Li et al.”