Detection of homogeneous wheat areas using multi-temporal UAS images and ground truth data analyzed by cluster analysis

European Journal of Remote Sensing

Volumn 51, Issue 1, 2018, Pages 266-275

  Marino, Stefano ^a   Alvino, Arturo ^a  

^a UNIVERSITY OF MOLISE   (Italy)

Author keywords

Agronomic traits; Cluster analysis; Durum wheat; Precision agriculture; UAV; Vegetation indices

Indexed keywords

AGRONOMY; ANTENNAS; CLUSTER ANALYSIS; CROPS; PRECISION AGRICULTURE; REMOTE SENSING; UNMANNED AERIAL VEHICLES (UAV); VEGETATION;

AGRONOMIC TRAITS; DURUM WHEATS; GROUND TRUTH DATA; MULTI-TEMPORAL REMOTE SENSING; PRECISION FARMING; QUALITATIVE CHARACTERISTICS; UNMANNED AERIAL SYSTEMS; VEGETATION INDEX;

IMAGE ANALYSIS;

AERIAL SURVEY; BIOMETRY; CLUSTER ANALYSIS; CROP YIELD; DETECTION METHOD; IMAGE ANALYSIS; MONITORING SYSTEM; NDVI; ORTHOPHOTO; PRECISION AGRICULTURE; REMOTE SENSING; TILLERING; UNMANNED VEHICLE; VEGETATION COVER; VEGETATION INDEX;

TRITICUM AESTIVUM; TRITICUM TURGIDUM SUBSP. DURUM;

EID: 85047214482     PISSN: None     EISSN: 22797254     Source Type: Journal    
DOI: 10.1080/22797254.2017.1422280     Document Type: Article

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