Viswanathan Chinnusamy

11 papers B 1C 1Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
PanicleDet: a deep learning-based model for detection of panicle stages in paddy.
Neural Comput. Appl.
Himanshushekhar Chaurasia, Alka Arora, Dhandapani Raju, Sudeep Marwaha, Viswanathan Chinnusamy, Rajni Jain, Md. Ashraful Haque
2024 J jnl
A multi-cell model for the C4 photosynthetic pathway in developing wheat grains based upon tissue-specific transcriptome data.
Biosyst.
Parimalan Rangan, Agnelo Furtado, Viswanathan Chinnusamy, Robert Henry
2024 J jnl
Estimation of wheat biophysical variables through UAV hyperspectral remote sensing using machine learning and radiative transfer models.
Comput. Electron. Agric.
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
2024 — conf
ICPR 2024 Leaf Inspect Competition: Leaf Instance Segmentation and Counting.
ICPR (34)
Swati Bhugra, Prerana Mukherjee, Vinay Kaushik, Siddharth Srivastava, Manoj Sharma, Viswanathan Chinnusamy, Brejesh Lall, Santanu Chaudhary
2023 J jnl
Optimizing the Retrieval of Wheat Crop Traits from UAV-Borne Hyperspectral Image with Radiative Transfer Modelling Using Gaussian Process Regression.
Remote. Sens.
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
2022 B conf
High-Resolution NIR Prediction from RGB Images: Application to Plant Phenotyping.
ICIP
Ankit Shukla, Avinash Upadhyay, Manoj Sharma, Viswanathan Chinnusamy, Sudhir Kumar
2022 J jnl
Yield-SpikeSegNet: An Extension of SpikeSegNet Deep-Learning Approach for the Yield Estimation in the Wheat Using Visual Images.
Appl. Artif. Intell.
Tanuj Misra, Alka Arora, Sudeep Marwaha, Ranjeet Ranjan Jha, Mrinmoy Ray, Shailendra Kumar, Sudhir Kumar, Viswanathan Chinnusamy
2021 J jnl
Web-SpikeSegNet: Deep Learning Framework for Recognition and Counting of Spikes From Visual Images of Wheat Plants.
IEEE Access
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
2020 J jnl
Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes.
CoRR
Mukesh Kumar Vishal, Dipesh Tamboli, Abhijeet Patil, Rohit Saluja, Biplab Banerjee, Amit Sethi, Raju Dhandapani, Sudhir Kumar, Rabi Narayan Sahoo, Viswanathan Chinnusamy, J. Adinarayana
2020 C conf
Leaf Counting in Rice (Oryza Sativa L.) Using Object Detection: A Deep Learning Approach.
IGARSS
Mukesh Kumar Vishal, Biplab Banerjee, Rohit Saluja, Raju Dhandapani, Viswanathan Chinnusamy, Sudhir Kumar, Rabi Narayan Sahoo, Jagarlapudi Adinarayana
2018 — conf
Deep Convolutional Neural Networks Based Framework for Estimation of Stomata Density and Structure from Microscopic Images.
ECCV Workshops (6)
Swati Bhugra, Deepak Mishra, Anupama Anupama, Santanu Chaudhury, Brejesh Lall, Archana Chugh, Viswanathan Chinnusamy