ULTRA-HIGH SPATIAL RESOLUTION UAV-BASED IMAGERY TO PREDICT BIOMASS IN TEMPERATE GRASSLANDS

6 citations as recorded by crossref.

1. Advances in vegetation mapping through remote sensing and machine learning techniques: a scientometric review C. Matyukira & P. Mhangara
2. Catalyzing Holistic Agriculture Innovation Through Industrial Biotechnology L. Walker & D. Buhler
3. Use of Drones for Trough Reading, Animal Counting, and Production Monitoring in Feedlot Systems K. Bastos et al.
4. UAV-g 2019: Unmanned Aerial Vehicles in Geomatics F. Nex
5. Spatial-temporal heterogeneity of yield, protein concentration, and leaf area index in grassland agroforestry systems can be modeled from UAV-borne imagery M. Wengert et al.
6. Can Low-Cost Unmanned Aerial Systems Describe the Forage Quality Heterogeneity? Insight from a Timothy Pasture Case Study in Southern Belgium A. Michez et al.