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Viswanathan Chinnusamy
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2020 – today
- 2024
- [j5]Parimalan Rangan
, Agnelo Furtado, Viswanathan Chinnusamy, Robert Henry:
A multi-cell model for the C4 photosynthetic pathway in developing wheat grains based upon tissue-specific transcriptome data. Biosyst. 238: 105195 (2024) - [j4]Rabi N. Sahoo, Rajan G. Rejith, Shalini Gakhar, Jochem Verrelst, Rajeev Ranjan, Tarun Kondraju, Mahesh C. Meena, Joydeep Mukherjee, Anchal Dass, Sudhir Kumar, Mahesh Kumar, Raju Dhandapani, Viswanathan Chinnusamy:
Estimation of wheat biophysical variables through UAV hyperspectral remote sensing using machine learning and radiative transfer models. Comput. Electron. Agric. 221: 108942 (2024) - 2023
- [j3]Rabi N. Sahoo, Shalini Gakhar, Rajan G. Rejith, Jochem Verrelst
, Rajeev Ranjan
, Tarun Kondraju, Mahesh C. Meena, Joydeep Mukherjee, Anchal Daas, Sudhir Kumar
, Mahesh Kumar, Raju Dhandapani, Viswanathan Chinnusamy:
Optimizing the Retrieval of Wheat Crop Traits from UAV-Borne Hyperspectral Image with Radiative Transfer Modelling Using Gaussian Process Regression. Remote. Sens. 15(23): 5496 (2023) - 2022
- [j2]Tanuj Misra, Alka Arora, Sudeep Marwaha, Ranjeet Ranjan Jha, Mrinmoy Ray
, Shailendra Kumar
, Sudhir Kumar, Viswanathan Chinnusamy:
Yield-SpikeSegNet: An Extension of SpikeSegNet Deep-Learning Approach for the Yield Estimation in the Wheat Using Visual Images. Appl. Artif. Intell. 36(1) (2022) - [c3]Ankit Shukla, Avinash Upadhyay, Manoj Sharma, Viswanathan Chinnusamy, Sudhir Kumar:
High-Resolution NIR Prediction from RGB Images: Application to Plant Phenotyping. ICIP 2022: 4058-4062 - 2021
- [j1]Tanuj Misra, Alka Arora
, Sudeep Marwaha, Ranjeet Ranjan Jha, Mrinmoy Ray
, Rajni Jain
, Atmakuri Ramakrishna Rao
, Eldho Varghese, Shailendra Kumar
, Sudhir Kumar
, Aditya Nigam
, Rabi Narayan Sahoo, Viswanathan Chinnusamy:
Web-SpikeSegNet: Deep Learning Framework for Recognition and Counting of Spikes From Visual Images of Wheat Plants. IEEE Access 9: 76235-76247 (2021) - 2020
- [c2]Mukesh Kumar Vishal, Biplab Banerjee, Rohit Saluja, Raju Dhandapani, Viswanathan Chinnusamy, Sudhir Kumar
, Rabi Narayan Sahoo, Jagarlapudi Adinarayana:
Leaf Counting in Rice (Oryza Sativa L.) Using Object Detection: A Deep Learning Approach. IGARSS 2020: 5286-5289 - [i1]Mukesh Kumar Vishal, Dipesh Tamboli, Abhijeet Patil, Rohit Saluja, Biplab Banerjee, Amit Sethi, Raju Dhandapani, Sudhir Kumar, Rabi Narayan Sahoo, Viswanathan Chinnusamy, J. Adinarayana:
Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes. CoRR abs/2004.02498 (2020)
2010 – 2019
- 2018
- [c1]Swati Bhugra
, Deepak Mishra
, Anupama Anupama
, Santanu Chaudhury
, Brejesh Lall
, Archana Chugh
, Viswanathan Chinnusamy:
Deep Convolutional Neural Networks Based Framework for Estimation of Stomata Density and Structure from Microscopic Images. ECCV Workshops (6) 2018: 412-423
Coauthor Index
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last updated on 2024-07-02 21:29 CEST by the dblp team
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