Deep Convolutional Neural Networks Based Framework for Estimation of Stomata Density and Structure from Microscopic Images. - Swati Bhugra; Deepak Mishra 003; Anupama Anupama; Santanu Chaudhury; Brejesh Lall; Archana Chugh; Viswanathan Chinnusamy (ECCV Workshops (6), 2018)

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 003; Rabi Narayan Sahoo; Jagarlapudi Adinarayana (IGARSS, 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 003; Rabi Narayan Sahoo; Viswanathan Chinnusamy; J. Adinarayana (CoRR, 2020)

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 003; Aditya Nigam; Rabi Narayan Sahoo; et al. (IEEE Access, 2021)

High-Resolution NIR Prediction from RGB Images: Application to Plant Phenotyping. - Ankit Shukla 001; Avinash Upadhyay; Manoj Sharma; Viswanathan Chinnusamy; Sudhir Kumar 003 (ICIP, 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 003; Viswanathan Chinnusamy (Appl. Artif. Intell., 2022)

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 003; Mahesh Kumar; Raju Dhandapani; et al. (Remote. Sens., 2023)

ICPR 2024 Leaf Inspect Competition: Leaf Instance Segmentation and Counting. - Swati Bhugra; Prerana Mukherjee; Vinay Kaushik; Siddharth Srivastava 004; Manoj Sharma; Viswanathan Chinnusamy; Brejesh Lall; Santanu Chaudhary (ICPR (34), 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)

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 003; Mahesh Kumar; Raju Dhandapani; et al. (Comput. Electron. Agric., 2024)

PanicleDet: a deep learning-based model for detection of panicle stages in paddy. - Himanshushekhar Chaurasia; Alka Arora; Dhandapani Raju; Sudeep Marwaha; Viswanathan Chinnusamy; Rajni Jain; Md. Ashraful Haque (Neural Comput. Appl., 2025)