Khaire et al., 2023 - Google Patents
A Comprehensive Survey of Weed Detection and Classification Datasets for Precision AgricultureKhaire et al., 2023
- Document ID
- 6204347347182940488
- Author
- Khaire P
- Attar V
- Kalamkar S
- Publication year
- Publication venue
- 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
External Links
Snippet
The plant that grows along with valuable agricultural goods is called a weed. This weed inhibits the crop's growth and diminishes farm productivity, so the weeds should be detected and removed. Weed detection and control play a vital role in agriculture, as weeds reduce …
- 241000196324 Embryophyta 0 title abstract description 187
Classifications
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- G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
- G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00664—Recognising scenes such as could be captured by a camera operated by a pedestrian or robot, including objects at substantially different ranges from the camera
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- G—PHYSICS
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