From image processing to artificial intelligence-driven tools: A comprehensive survey on the evolution of feature extraction methods in paintings, Rekha Sharma (PhD Student), Aditya Sinha, Engineering Applications of Artificial Intelligence. DOI: https://doi.org/10.1016/j.engappai.2025.111794
Novel Approach for Quantification for Severity Estimation of Blight Diseases on Leaves of Tomato Plant, Aahan Singh Charak, Aditya Sinha, Expert Systems. [CITE]
Protecting Superfood Olive Crop from Pests and Pathogens Using Image Processing Techniques: A Review, 18(4): Current Nutrition & Food Science, 375 - 386 Smita Sisodiya, Aditya Sinha, Mousumi Debnath*, Rajveer Shekhawat and Surinder Singh Shekhawat DOI: 10.2174/1573401318666211227103001. [CITE]
Olive Spot Disease Detection and Classification using Analysis of Leaf Image Textures, Aditya Sinha, Rajveer Singh Shekhawat, Procedia Computer Science, Volume 167, 2020, Pages 2328-2336, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2020.03.285. [CITE]
Review of image processing approaches for detecting plant diseases. Aditya Sinha & Rajveer Singh Shekhawat(2020), IET Image Processing, 14: 1427-1439. https://doi.org/10.1049/iet-ipr.2018.6210. [CITE]
A novel image classification technique for spot and blight diseases in plant leaves, Aditya Sinha & Rajveer Singh Shekhawat (2020), The Imaging Science Journal, 68:4, 225-239, DOI: 10.1080/13682199.2020.1865652. [CITE]
Lesion isolation using color space thresholding and k-means on powdery mildew affected squash leaves [CITE]
Detection and classification of pathogens causing various plant diseases using supervised machine learning approaches based on hybrid feature sets [CITE]
Novel Plant-Pathogen Classification Techniques based on Supervised Machine Learning Techniques using Optimized Gabor Sets, Preprints [CITE]
Lesion Isolation from Apple Plant Leaves Affected by Black Rot Disease using Optimized Masking on Various Color Channels, Aryan Gupta; Aditya Sinha; Shaleen Poddar, IEEE Xplore, 2023, DOI: 10.1109/ICICT55121.2022.10064523 [CITE]
Classification of Various Diseases Affecting Apple, Cherry, and Peach Plants using Modified VGGNet19 Architecture, Sanika Kapoor; Dipanshu Kumar; Aditya Sinha, IEEE Xplore, 2023, DOI: 10.1109/ICICT55121.2022.10064586. [CITE]
Detection, Quantification and Analysis of Neofabraea Leaf Spot in Olive Plant using Image Processing Techniques, Aditya Sinha & Rajveer Singh Shekhawat (2020) 2019 5th International Conference on Signal Processing, Computing and Control (ISPCC), IEEE, 2019, pp. 348-353, DOI: 10.1109/ISPCC48220.2019.8988316. [CITE]
Universal Approach for Detection of Spot Diseases in Plants Aditya Sinha & Rajveer Singh Shekhawat (2020). Universal Approach for Detection of Spot Diseases in Plants. Advances in Computational Intelligence Techniques. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-2620-6_16. [CITE]
Classification of Neofabrea and Peacock Leaf Spot Disease in Olive Plants using Image Processing Techniques, Aditya Sinha & Rajveer Singh Shekhawat (2020), TEQIP - III Sponsored First International Conference on Innovations and Challenges in Computing, Analytics and Security ” ( ICICCAS - 2020 )
SMS Spam Classification Using Machine Learning Techniques, Tarun Jain, Payal Garg, Namita Chalil, Aditya Sinha, Vivek Kumar Verma, Rishi Gupta, 2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence), IEEE, 2022, pp. 273-279, DOI: 10.1109/Confluence52989.2022.9734128.
Modelling & verification of sliding window protocol with data loss and intruder detection using NuSMV, Aditya Sinha, Ajay R, Sanjay Singh, CCSEIT '12: Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology, ACM, October 2012 Pages 352–357, https://doi.org/10.1145/2393216.2393276. [CITE]
Demographic Customer Segmentation of banking users Based on k-prototype methodology, Rishi Gupta; Horesh Kumar; Tarun Jain; Anita Shrotriya; Aditya Sinha, 2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence), IEEE, 2022, pp. 578-584, DOI: 10.1109/Confluence52989.2022.9734169.
Reddy S., Sinha, A, Sadistap, S. Development of Linux based Reverse Osmosis system, .in ISBN 978-93-80697-49-9, 7th Trends in Industrial Measurement and Automation (TIMA2011), Chennai.
Das N, Sinha A., Sadistap S. Design and implementation of Embedded Farm Robot for Smart Inspection in Journal of Science, Vol. 8, No. 1,2011, Online ISSN: 0974- 813x, Print ISSN: 0974-8121
Design and implementation of Embedded Farm Robot for Smart Inspection, Das N, Sinha A., Sadistap S., 11-13 February 2011, NSPTS-16, Lucknow