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Frontiers in Plant Science|January 23, 2024
PDSE-Lite: lightweight framework for plant disease severity estimation based on Convolutional Autoencoder and Few-Shot LearningPunam Bedi, Pushkar Gole, Sudeep Marwaha
Frontiers in Plant Science|August 14, 2023
TrIncNet: a lightweight vision transformer network for identification of plant diseasesPushkar Gole, Punam Bedi, Sudeep Marwaha, et al.
Computer Methods and Programs in Biomedicine|December 12, 2024
EpiBrCan-Lite: A lightweight deep learning model for breast cancer subtype classification using epigenomic dataPunam Bedi, Surbhi Rani, Bhavna Gupta, et al.
SN Computer Science|April 26, 2021
Prediction of COVID-19 Trend in India and Its Four Worst-Affected States Using Modified SEIRD and LSTM ModelsPunam Bedi, Shivani Dhiman, Pushkar Gole, et al.
Scientific Reports|September 29, 2025
AgriFact framework for modelling the impact of farmers' information demand on nationwide wheat productivity in IndiaSamarth Godara, Kamal Batra, Ram Swaroop Bana, et al.
Frontiers in Plant Science|August 22, 2022
SlypNet: Spikelet-based yield prediction of wheat using advanced plant phenotyping and computer vision techniquesArpan K Maji, Sudeep Marwaha, Sudhir Kumar, et al.
Scientific Reports|August 29, 2024
Effective weight optimization strategy for precise deep learning forecasting models using EvoLearn approachJatin Bedi, Ashima Anand, Samarth Godara, et al.
Frontiers in Plant Science|January 16, 2023
A lightweight convolutional neural network for recognition of severity stages of maydis leaf blight disease of maizeMd Ashraful Haque, Sudeep Marwaha, Alka Arora, et al.
Scientific Reports|November 25, 2024
TPTC: topic-wise problems' trend clusters for smart agricultural insights extraction and forecasting of farmer's information demandSamarth Godara, Shbana Begam, Ram Swaroop Bana, et al.
Plant Methods|March 25, 2020
SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imagingTanuj Misra, Alka Arora, Sudeep Marwaha, et al.
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