Proceedings ArticleDOI
Phenotyping of xylem vessels for drought stress analysis in rice
Swati Bhugra,Anupama Anupama,Santanu Chaudhury,Brejesh Lall,Archana Chugh +4 more
- pp 428-431
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TLDR
An image processing pipeline is developed that comprises of low level processing which enables high-throughput detection of xylem vessels and successfully captures the phenotypic difference between MTU-1010 (d drought susceptible rice cultivar) and Sahbhagi Dhan (drought tolerant Rice cultivar).Abstract:
Xylem vessels play a pivotal role in plant adaptation to drought stress. In this paper, we propose a novel framework that associates automatic segmentation of xylem vessels with its morphological features as a quantitative proxy to predict drought stress response (DSR). We develop an image processing pipeline that comprises of low level processing which enables high-throughput detection of xylem vessels. With no prior information about its size and location, the proposed detection methodology gives an accuracy of 98%. The labelled data for DSR are either not available or are subjectively developed, which is a low-throughput and error prone task. We resolve this problem by employing simplex volume maximization (SiVM) algorithm. The convex representations obtained from SiVM for each xylem in microscopic images based on its shape factors are aggregated to get an automated scoring of the whole plant. Bhattacharya distance is then employed to obtain the divergence of these responses w.r.t. the control group. The proposed framework successfully captures the phenotypic difference between MTU-1010 (drought susceptible rice cultivar) and Sahbhagi Dhan (drought tolerant rice cultivar).read more
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Journal ArticleDOI
Morphological, transcriptomic and proteomic responses of contrasting rice genotypes towards drought stress
TL;DR: In this paper, morphological, physiological, biochemical and molecular variations between drought tolerant (PB6 and Moroberakan) and drought sensitive (Way Rarem) varieties have been evaluated, and notable differences have been observed in root morphology, root xylem number and area, stomata number, relative water content, proline content, protein and gene expression.
Proceedings ArticleDOI
Drought Stress Classification Using 3D Plant Models
TL;DR: This paper proposes a novel end-to-end pipeline including 3D reconstruction, segmentation and feature extraction, leveraging deep neural networks at various stages, for drought stress study, and shows that the network outperforms conventional methods.
Posted Content
Drought Stress Classification using 3D Plant Models
TL;DR: In this article, the authors proposed an end-to-end pipeline including 3D reconstruction, segmentation and feature extraction, leveraging deep neural networks at various stages, for drought stress study to overcome the high degree of self-similarities and self-occlusions in plant canopy.
Book ChapterDOI
Extraction of Phenotypic Traits for Drought Stress Study Using Hyperspectral Images
TL;DR: This work proposes a novel framework for phenotypic discovery based on autoencoders, which is trained using Simple Linear Iterative Clustering (SLIC) superpixels and shows potential by separating the plant responses into three classes with a finer granularity.
References
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Identification of Idealized Leaf Types Using Simple Dimensionless Shape Factors by Image Analysis
S. Yonekawa,N. Sakai,O. Kitani +2 more
TL;DR: Leaf shape is a common source of information used to identify plants and the addition of intelligence into vision systems requires an understanding and structuring of human visual techniques.
Proceedings ArticleDOI
Yes we can: simplex volume maximization for descriptive web-scale matrix factorization
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Journal ArticleDOI
Xylem morphology determines the drought response of two Arundo donax ecotypes from contrasting habitats
Matthew Haworth,Mauro Centritto,Alessio Giovannelli,Giovanni Marino,Noemi Proietti,Donatella Capitani,Anna De Carlo,Francesco Loreto +7 more
TL;DR: In this article, physiological and morphological responses to drought in two ecotypes of A.donax from contrasting habitats: one from an arid environment in Morocco, and the second from a warm humid sub-Mediterranean climate in central Italy.