Additional file 1 of SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging

Additional file 1. Names of the genotypes used for the study.

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Hauptverfasser: Tanuj Misra, Arora, Alka, Sudeep Marwaha, Viswanathan Chinnusamy, Atmakuri Ramakrishna Rao, Jain, Rajni, Sahoo, Rabi Narayan, Mrinmoy Ray, Kumar, Sudhir, Dhandapani Raju, Jha, Ranjeet Ranjan, Nigam, Aditya, Goel, Swati
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creator Tanuj Misra
Arora, Alka
Sudeep Marwaha
Viswanathan Chinnusamy
Atmakuri Ramakrishna Rao
Jain, Rajni
Sahoo, Rabi Narayan
Mrinmoy Ray
Kumar, Sudhir
Dhandapani Raju
Jha, Ranjeet Ranjan
Nigam, Aditya
Goel, Swati
description Additional file 1. Names of the genotypes used for the study.
doi_str_mv 10.6084/m9.figshare.12004782
format Dataset
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identifier DOI: 10.6084/m9.figshare.12004782
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subjects Artificial Intelligence and Image Processing
FOS: Biological sciences
FOS: Computer and information sciences
Plant Biology
title Additional file 1 of SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging
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