Viswanathan Chinnusamy

According to our database, Viswanathan Chinnusamy authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Estimation of wheat biophysical variables through UAV hyperspectral remote sensing using machine learning and radiative transfer models.

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

Comput. Electron. Agric., 2024

A multi-cell model for the C4 photosynthetic pathway in developing wheat grains based upon tissue-specific transcriptome data.

Parimalan Rangan, Agnelo Furtado, Viswanathan Chinnusamy, Robert Henry

Biosyst., 2024

ICPR 2024 Leaf Inspect Competition: Leaf Instance Segmentation and Counting.

Swati Bhugra, Prerana Mukherjee, Vinay Kaushik, Siddharth Srivastava, Manoj Sharma, Viswanathan Chinnusamy, Brejesh Lall, Santanu Chaudhary

Proceedings of the Pattern Recognition. Competitions - 27th International Conference, 2024

2023

Optimizing the Retrieval of Wheat Crop Traits from UAV-Borne Hyperspectral Image with Radiative Transfer Modelling Using Gaussian Process Regression.

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

Remote. Sens., December, 2023

2022

Yield-SpikeSegNet: An Extension of SpikeSegNet Deep-Learning Approach for the Yield Estimation in the Wheat Using Visual Images.

Tanuj Misra, Alka Arora, Sudeep Marwaha, Ranjeet Ranjan Jha, Mrinmoy Ray, Shailendra Kumar, Sudhir Kumar, Viswanathan Chinnusamy

Appl. Artif. Intell., December, 2022

High-Resolution NIR Prediction from RGB Images: Application to Plant Phenotyping.

Ankit Shukla, Avinash Upadhyay, Manoj Sharma, Viswanathan Chinnusamy, Sudhir Kumar

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Web-SpikeSegNet: Deep Learning Framework for Recognition and Counting of Spikes From Visual Images of Wheat Plants.

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

IEEE Access, 2021

2020

Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes.

Mukesh Kumar Vishal, Dipesh Tamboli, Abhijeet Patil, Rohit Saluja, Biplab Banerjee, Amit Sethi, Raju Dhandapani, Sudhir Kumar, Rabi Narayan Sahoo, Viswanathan Chinnusamy, J. Adinarayana

CoRR, 2020

Leaf Counting in Rice (Oryza Sativa L.) Using Object Detection: A Deep Learning Approach.

Mukesh Kumar Vishal, Biplab Banerjee, Rohit Saluja, Raju Dhandapani, Viswanathan Chinnusamy, Sudhir Kumar, Rabi Narayan Sahoo, Jagarlapudi Adinarayana

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2018

Deep Convolutional Neural Networks Based Framework for Estimation of Stomata Density and Structure from Microscopic Images.

Swati Bhugra, Deepak Mishra, Anupama Anupama, Santanu Chaudhury, Brejesh Lall, Archana Chugh, Viswanathan Chinnusamy

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018