An automatic random forest-OBIA algorithm for early weed mapping between and within crop rows using UAV imagery

Remote Sensing

Volumn 10, Issue 2, 2018, Pages

  de Castro, Ana I ^a   Torres Sánchez, Jorge ^a   Peña, Jose M ^b   Jiménez Brenes, Francisco M ^a   Csillik, Ovidiu ^c   López Granados, Francisca ^a  

^a INSTITUTO DE AGRICULTURA SOSTENIBLE   (Spain)

^b INSTITUTO DE CIENCIAS AGRARIAS   (Spain)

^c UNIVERSITY OF SALZBURG   (Austria)

Author keywords

Digital Surface Model; In season post emergence site specific weed control; Plant height; Precision agriculture; Segmentation

Indexed keywords

AGRICULTURE; ANTENNAS; CROPS; DECISION MAKING; DECISION TREES; IMAGE ANALYSIS; IMAGE RESOLUTION; IMAGE SEGMENTATION; LEARNING SYSTEMS; PRECISION AGRICULTURE; UNMANNED AERIAL VEHICLES (UAV);

DIGITAL SURFACE MODELS; HERBICIDE APPLICATION; MACHINE LEARNING TECHNIQUES; OBJECT BASED IMAGE ANALYSIS (OBIA); PLANT HEIGHT; SITE-SPECIFIC; SPATIAL RESOLUTION; SPATIAL RESOLUTION IMAGES;

WEED CONTROL;

EID: 85042537525     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs10020285     Document Type: Article

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