Sudhir Kumar

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 6

Top Topics

Object Recognition

Gaussian Process Regression

Image Retrieval

Top Venues

Comput. Electron. Agric.

Appl. Artif. Intell.

Publications

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 (2024)
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) (2023)
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)
Ankit Shukla, Avinash Upadhyay, Manoj Sharma, Viswanathan Chinnusamy, Sudhir Kumar
High-Resolution NIR Prediction from RGB Images: Application to Plant Phenotyping. ICIP (2022)
Tanuj Misra, Alka Arora, Sudeep Marwaha, Ranjeet Ranjan Jha, Mrinmoy Ray, Rajni Jain, A. R. 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 (2021)
Mukesh Kumar Vishal, Biplab Banerjee, Rohit Saluja, Dhandapani Raju, 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)