Deep learning-based approach for identification of diseases of maize crop MA Haque, S Marwaha, CK Deb, S Nigam, A Arora, KS Hooda, ... Scientific reports 12 (1), 6334, 2022 | 88 | 2022 |
Deep transfer learning model for disease identification in wheat crop S Nigam, R Jain, S Marwaha, A Arora, MA Haque, A Dheeraj, VK Singh Ecological Informatics 75, 102068, 2023 | 48 | 2023 |
Plant disease identification using Deep Learning: A review. Indian Journal of Agricultural Sciences S Nigam, R Jain Indian Journal of Agricultural Sciences, 2019 | 40* | 2019 |
Wheat Disease Severity Estimation: A Deep Learning Approach S Nigam, R Jain, S Prakash, S Marwaha, A Arora, V Singh,Kumar, ... Internet of Things and Connected Technologies: Conference Proceedings on 6th …, 2022 | 18 | 2022 |
Recognition of diseases of maize crop using deep learning models MA Haque, S Marwaha, CK Deb, S Nigam, A Arora Neural Computing and Applications 35 (10), 7407-7421, 2023 | 15 | 2023 |
Automating yellow rust disease identification in wheat using artificial intelligence S Nigam, R Jain, S Marwaha, A Arora, VK Singh, AK Singh, RK Paul, ... The Indian Journal of Agricultural Sciences 91 (9), 1391-95, 2021 | 12 | 2021 |
A lightweight convolutional neural network for recognition of severity stages of maydis leaf blight disease of maize MA Haque, S Marwaha, A Arora, CK Deb, T Misra, S Nigam, KS Hooda Frontiers in Plant Science 13, 5252, 2022 | 11 | 2022 |
12 Wheat rust disease identification using deep learning S Nigam, R Jain, S Marwaha, A Arora Internet of Things and Machine Learning in Agriculture: Technological …, 2021 | 10 | 2021 |
Deep learning-based approach for identification of diseases of maize crop. Sci Rep 12 (1) MA Haque, S Marwaha, CK Deb, S Nigam, A Arora, KS Hooda | 5 | 2022 |
EfficientNet architecture and attention mechanism-based wheat disease identification model S Nigam, R Jain, VK Singh, S Marwaha, A Arora, S Jain Procedia Computer Science 235, 383-393, 2024 | 2 | 2024 |
Artificial Intelligence based Models for Plant Protection R Jain, S Nigam, S Santrupth International Journal of Agriculture, Environment and Sustainability 3 (1), 1-7, 2021 | 2 | 2021 |
Applications of data mining in the bioinformatics field: A review S Begam, S Satpathy, S Godara, S Nigam, A Dheeraj, I Yuvaraj, ... Bhartiya Krishi Anusandhan Patrika 37 (2), 121-125, 2022 | 1 | 2022 |
Image Based Rice Weed Identification Using Deep Learning and Attention Mechanisms S Nigam, AK Singh, VK Singh, BM Bashyal, S Marwaha, R Parsad International Conference on Deep Learning, Artificial Intelligence and …, 2024 | | 2024 |
Deep learning models for detection and classification of spongy tissue disorder in mango using X-ray images PR Kiran, G Avinash, M Ray, S Nigam, RA Parray Journal of Food Measurement and Characterization, 1-13, 2024 | | 2024 |
ADNet: An Attention Embedded DenseNet121 Model for Weed Classification A Dheeraj, S Marwaha, S Nigam, MA Haque, Madhu International Conference on Deep Learning, Artificial Intelligence and …, 2023 | | 2023 |
Image based Identification of Wheat Fungal Diseases using Artificial Intelligence S Nigam, R Jain, VK Singh, S Marwaha Population Diversity, Pathogenomics and Development of Diagnostics of …, 2023 | | 2023 |
Geographic Information Systems (GIS) and its Applications SNB Madhu, M Shevakula, S Nigam, A Singh MULTIDISCIPLINARY, 127, 2023 | | 2023 |
Digital Technologies: A Way Forward for Developing Gender Sensitive Agripreneurship N Kumar, R Kumar, JK Samriya, S Nigam ICAR-CIWA, Bhubaneswar-751 003 & MANAGE, Hyderabad-500 030, 2021 | | 2021 |
Role of artificial intelligence (AI) and internet of things (IoT) in mitigating climate change A Dheeraj, S Nigam, S Begam, S Naha, SJ Devi, HS Chaurasia, D Kumar, ... Not Available, 2020 | | 2020 |
गे ं के मुख रोग क पहचान के िलए डीप ल नग मॉडल का िवकास Development of Deep Learning Model for Identification of Major Wheat Diseases S NIGAM | | |