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Crop phenomics: current status and perspectives
C Zhao, Y Zhang, J Du, X Guo, W Wen, S Gu… - Frontiers in Plant …, 2019 - frontiersin.org
Reliable, automatic, multifunctional, and high-throughput phenotypic technologies are
increasingly considered important tools for rapid advancement of genetic gain in breeding …
increasingly considered important tools for rapid advancement of genetic gain in breeding …
[HTML][HTML] Plant trait estimation and classification studies in plant phenoty** using machine vision–A review
S Kolhar, J Jagtap - Information Processing in Agriculture, 2023 - Elsevier
Today there is a rapid development taking place in phenoty** of plants using non-
destructive image based machine vision techniques. Machine vision based plant …
destructive image based machine vision techniques. Machine vision based plant …
Semantic instance segmentation with a discriminative loss function
B De Brabandere, D Neven, L Van Gool - ar** tasks
Plant phenomics has received increasing interest in recent years in an attempt to bridge the
genotype-to-phenotype knowledge gap. There is a need for expanded high-throughput …
genotype-to-phenotype knowledge gap. There is a need for expanded high-throughput …
End-to-end instance segmentation with recurrent attention
While convolutional neural networks have gained impressive success recently in solving
structured prediction problems such as semantic segmentation, it remains a challenge to …
structured prediction problems such as semantic segmentation, it remains a challenge to …
Recurrent instance segmentation
Instance segmentation is the problem of detecting and delineating each distinct object of
interest appearing in an image. Current instance segmentation approaches consist of …
interest appearing in an image. Current instance segmentation approaches consist of …
Finely-grained annotated datasets for image-based plant phenoty**
Image-based approaches to plant phenoty** are gaining momentum providing fertile
ground for several interesting vision tasks where fine-grained categorization is necessary …
ground for several interesting vision tasks where fine-grained categorization is necessary …
Leaf segmentation in plant phenoty**: a collation study
Image-based plant phenoty** is a growing application area of computer vision in
agriculture. A key task is the segmentation of all individual leaves in images. Here we focus …
agriculture. A key task is the segmentation of all individual leaves in images. Here we focus …
Leaf counting with deep convolutional and deconvolutional networks
S Aich, I Stavness - … of the IEEE international conference on …, 2017 - openaccess.thecvf.com
In this paper, we investigate the problem of counting rosette leaves from an RGB image, an
important task in plant phenoty**. We propose a data-driven approach for this task …
important task in plant phenoty**. We propose a data-driven approach for this task …
[HTML][HTML] Leaf segmentation and classification with a complicated background using deep learning
K Yang, W Zhong, F Li - Agronomy, 2020 - mdpi.com
The segmentation and classification of leaves in plant images are a great challenge,
especially when several leaves are overlap** in images with a complicated background …
especially when several leaves are overlap** in images with a complicated background …