medical-6
Plant Phenotyping
3260 papers • 126 benchmarks • 313 datasets
Plant Phenotyping refers to the use of various techniques and methods to measure and describe the external characteristics and traits of plants. In the field of machine learning, Plant Phenotyping typically involves the use of tools such as image processing, computer vision, sensor technologies, etc., to automatically capture and analyze data related to the morphology, structure, and growth patterns of plants.
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Most implemented papers
Scalable learning for bridging the species gap in image-based plant phenotyping
Peyman Moghadam, Daniel Ward•Mon Mar 23 2020
This paper investigates the use of synthetic data for leaf instance segmentation and presents UPGen: a Universal Plant Generator for bridging the species gap, which leverages domain randomisation to produce widely distributed data samples and models stochastic biological variation.
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