Drone-based Weed Detection
Drone-Based Weed Detection is a remote sensing methodology that employs unmanned aerial vehicles equipped with imaging systems to identify and classify weed species in vegetative cover by analyzing spectral, spatial, and temporal patterns distinct from crop plants.
54
Publications
3K
Citations
188
Authors
85
Institutions
Publications per year
2017–2026
50
54
UAV-based crop and weed classification for smart farming
Philipp Lottes, Raghav Khanna, Johannes Pfeifer et al. · 2017 · 384 citations
Francisca López Granados, Jorge Torres‐Sánchez, Angélica Serrano-Pérez et al. · Precision Agriculture · 2015 · 190 citations
1–5 of 54
188
Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique, France
3 publications · 523 citations
3
h-index
3
h-index
3
h-index
Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique, France
3 publications · 523 citations
3
h-index
3
h-index
1–5 of 188
85
Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique
Orléans, France
3 h-index
8 publications
1.5K citations

Université d'Orléans
Orléans, France
3 h-index
5 publications
981 citations
Institut National des Sciences Appliquées Centre Val de Loire
Blois, France
3 h-index
3 publications
523 citations
Centre Val de Loire
Tours, France
3 h-index
3 publications
523 citations
Technologie- und Förderzentrum im Kompetenzzentrum für Nachwachsende Rohstoffe
Straubing, Germany
2 h-index
4 publications
252 citations
Instituto de Agricultura Sostenible
Córdoba, Spain
2 h-index
9 publications
1.8K citations

Agricultural Research Organization
Rishon LeZiyyon, Israel
2 h-index
7 publications
165 citations

Democritus University of Thrace
Komotini, Greece
2 h-index
4 publications
142 citations
1–8 of 85
6 publications · 457 citations
7
h-index
5 publications · 336 citations
5
h-index
3 publications · 247 citations
3
h-index
1 publications · 154 citations
2
h-index
2 publications · 140 citations
2
h-index
1–5