A review of computer vision technologies for plant phenotyping

Z Li, R Guo, M Li, Y Chen, G Li - Computers and Electronics in Agriculture, 2020 - Elsevier
Plant phenotype plays an important role in genetics, botany, and agronomy, while the
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

Y Jiang, C Li - Plant Phenomics, 2020 - spj.science.org
Plant phenotyping has been recognized as a bottleneck for improving the efficiency of
breeding programs, understanding plant-environment interactions, and managing …

Deep learning for free-hand sketch: A survey

P Xu, TM Hospedales, Q Yin, YZ Song… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
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 …

RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures

R Yasrab, JA Atkinson, DM Wells, AP French… - …, 2019 - academic.oup.com
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 …

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 …

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 …

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 …

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 …

[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 …

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 …