Please see the paper "Digging roots is easier with AI" how the images were captured and the manual counting was performed for the three destructive sampling procedures
This article proposes a methodology for the numerical validation of image processing algorithms dedi...
Labelled training data in artificial intelligence (AI) is used to teach so-called 'supervised learni...
Reliable techniques for screening large numbers of plants for root traits are still being developed,...
See the paper ''Digging roots is easier with AI' for an explanation of how the models and datasets w...
Data on root weight, length, and surface area are useful in soil characterization, ecosystem descrip...
In recent years, the tech is moving towards a more automized and smarter software. To achieve smarte...
A new method for automatic counting of etched fission tracks in minerals is described and presented ...
Dataset presenting the root data analysis performed in the paper: An evaluation of inexpensive meth...
This thesis provides an alternative method to for mapping soil erosion. The method is conducted in a...
Counted biopores dataset used in the article: 'RootPainter: Deep Learning Segmentation of Biological...
Nature-based solution using vegetation has been considered as a sustainable and environmentally frie...
The automation is popular in agriculture sector is key concern besides emergent issue across the glo...
The fine roots are considered the key organs for plant survival, growth and productivity. Measuremen...
Please see the paper "Deep learning with multisite data reveals the lasting effects of soil type, ti...
Summary: The original RootTrace tool has proved successful in measuring primary root lengths across ...
This article proposes a methodology for the numerical validation of image processing algorithms dedi...
Labelled training data in artificial intelligence (AI) is used to teach so-called 'supervised learni...
Reliable techniques for screening large numbers of plants for root traits are still being developed,...
See the paper ''Digging roots is easier with AI' for an explanation of how the models and datasets w...
Data on root weight, length, and surface area are useful in soil characterization, ecosystem descrip...
In recent years, the tech is moving towards a more automized and smarter software. To achieve smarte...
A new method for automatic counting of etched fission tracks in minerals is described and presented ...
Dataset presenting the root data analysis performed in the paper: An evaluation of inexpensive meth...
This thesis provides an alternative method to for mapping soil erosion. The method is conducted in a...
Counted biopores dataset used in the article: 'RootPainter: Deep Learning Segmentation of Biological...
Nature-based solution using vegetation has been considered as a sustainable and environmentally frie...
The automation is popular in agriculture sector is key concern besides emergent issue across the glo...
The fine roots are considered the key organs for plant survival, growth and productivity. Measuremen...
Please see the paper "Deep learning with multisite data reveals the lasting effects of soil type, ti...
Summary: The original RootTrace tool has proved successful in measuring primary root lengths across ...
This article proposes a methodology for the numerical validation of image processing algorithms dedi...
Labelled training data in artificial intelligence (AI) is used to teach so-called 'supervised learni...
Reliable techniques for screening large numbers of plants for root traits are still being developed,...
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