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Weed detection and classification in high altitude aerial images for robot-based precision agriculture
Karthik Buddha
, Henry J. Nelson
, Dimitris Zermas
,
Nikolaos Papanikolopoulos
Computer Science and Engineering
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
13
Scopus citations
Overview
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Dive into the research topics of 'Weed detection and classification in high altitude aerial images for robot-based precision agriculture'. Together they form a unique fingerprint.
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Keyphrases
Weeds
100%
Aerial Survey
100%
Robotics
100%
High Altitude
100%
Precision Agriculture
100%
Weed Identification
100%
Aerial Image
100%
Weed Flora
100%
Weed Detection
100%
Robot Base
100%
Image Analysis
50%
Survey Data
50%
Crop Species
50%
Herbicide
50%
Farming Practices
50%
Herbicide-resistant Weeds
50%
Weed Management Systems
50%
Sprayer
50%
Agricultural Land
50%
Control Loop
50%
Physical Distribution
50%
Robotic Control
50%
Image Analysis pipeline
50%
Agricultural and Biological Sciences
Precision Agriculture
100%
Image Analysis
100%
Herbicide
50%
Weed Management
50%
Herbicide-Resistant Weeds
50%
Sprayers
50%
Foot
50%
Agricultural Land
50%