A review of computer vision technologies for plant phenotyping
Plant phenotype plays an important role in genetics, botany, and agronomy, while the
currently popular methods for phenotypic trait measurement have some limitations in …
currently popular methods for phenotypic trait measurement have some limitations in …
[HTML][HTML] Convolutional neural networks for image-based high-throughput plant phenotyping: a review
Plant phenotyping has been recognized as a bottleneck for improving the efficiency of
breeding programs, understanding plant-environment interactions, and managing …
breeding programs, understanding plant-environment interactions, and managing …
Deep learning for free-hand sketch: A survey
Free-hand sketches are highly illustrative, and have been widely used by humans to depict
objects or stories from ancient times to the present. The recent prevalence of touchscreen …
objects or stories from ancient times to the present. The recent prevalence of touchscreen …
RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures
Background In recent years quantitative analysis of root growth has become increasingly
important as a way to explore the influence of abiotic stress such as high temperature and …
important as a way to explore the influence of abiotic stress such as high temperature and …
Affordable and robust phenotyping framework to analyse root system architecture of soil‐grown plants
T Bontpart, C Concha, MV Giuffrida… - The Plant …, 2020 - Wiley Online Library
The phenotypic analysis of root system growth is important to inform efforts to enhance plant
resource acquisition from soils; however, root phenotyping remains challenging because of …
resource acquisition from soils; however, root phenotyping remains challenging because of …
Tracking growth and decay of plant roots in minirhizotron images
A Gillert, B Peters, UF Von Lukas… - Proceedings of the …, 2023 - openaccess.thecvf.com
Plant roots are difficult to monitor and study since they are hidden belowground.
Minirhizotrons offer an in-situ monitoring solution but their widespread adoption is still …
Minirhizotrons offer an in-situ monitoring solution but their widespread adoption is still …
Plant Root Occlusion Inpainting with Generative Adversarial Network
H Song, K Panjvani, Z Liu, H Amar… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract Three-dimensional (3D) image analysis represents the state-of-the art for
phenotyping in the fields of biology and plant science including studies of root system …
phenotyping in the fields of biology and plant science including studies of root system …
Adversarial large-scale root gap inpainting
H Chen, M Valerio Giuffrida… - Proceedings of the …, 2019 - openaccess.thecvf.com
Root imaging of a growing plant in a non-invasive, affordable, and effective way remains
challenging. One approach is to image roots by growing them in a rhizobox, a soil-filled …
challenging. One approach is to image roots by growing them in a rhizobox, a soil-filled …
[HTML][HTML] Image completion algorithm of anthurium spathes based on multi-scale feature learning
H Wei, J Li, W Chen, X Chu, H Liu, Y Mu… - Frontiers in Plant …, 2023 - frontiersin.org
Machine vision has been used to grade the potted anthurium plant in large-scale production
recently. Images are taken to measure the number and size of anthurium spathes. However …
recently. Images are taken to measure the number and size of anthurium spathes. However …
Identification and measurement of individual roots in minirhizotron images of dense root systems
A Gillert, B Peters, UF von Lukas… - Proceedings of the …, 2021 - openaccess.thecvf.com
Semantic segmentation networks are prone to oversegmentation in areas where objects are
tightly clustered. In minirhizotron images with densely packed plant root systems this can …
tightly clustered. In minirhizotron images with densely packed plant root systems this can …