A role of computer vision in fruits and vegetables among various horticulture products of agriculture fields: A survey MK Tripathi, DD Maktedar Information Processing in Agriculture 7 (2), 183-203, 2020 | 176 | 2020 |
Recent machine learning based approaches for disease detection and classification of agricultural products MK Tripathi, DD Maktedar 2016 international conference on computing communication control and …, 2016 | 72 | 2016 |
Optimized deep learning model for mango grading: Hybridizing lion plus firefly algorithm MK Tripathi, DD Maktedar IET Image Processing 15 (9), 1940-1956, 2021 | 30 | 2021 |
Energy analysis of DI-CI engine with nickel oxide nanoparticle added azadirachta indica biofuel at different static injection timing based on exergy SV Channapattana, S Campli, A Madhusudhan, S Notla, R Arkerimath, ... Energy 267, 126622, 2023 | 29 | 2023 |
Block chain technology in agriculture product supply chain K Chiranjeevi, MK Tripathi, DD Maktedar 2021 International Conference on Artificial Intelligence and Smart Systems …, 2021 | 29 | 2021 |
Detection of various categories of fruits and vegetables through various descriptors using machine learning techniques MK Tripathi, DD Maktedar International Journal of Computational Intelligence Studies 10 (1), 36-73, 2021 | 16 | 2021 |
Internal quality assessment of mango fruit: an automated grading system with ensemble classifier MK Tripathi, DD Maktedar The Imaging Science Journal 70 (4), 253-272, 2022 | 11 | 2022 |
Residual life assessment (RLA) analysis of apple disease based on multimodal deep learning model MK Tripathi, D Maktedar, DN Vasundhara, C Moorthy, P Patil International Journal of Intelligent Systems and Applications in Engineering …, 2023 | 10 | 2023 |
Breast cancer image analysis and classification framework by applying machine learning techniques MK Tripathi, M Neelakantapp, A Kaulage, KV Nabilal, SN Patil, ... International Journal of Intelligent Systems and Applications in Engineering …, 2023 | 10 | 2023 |
Detection of fruits image applying decision tree classifier techniques Shivendra, K Chiranjeevi, MK Tripathi Computational Intelligence and Data Analytics: Proceedings of ICCIDA 2022 …, 2022 | 10 | 2022 |
Identification of mango variety using near infrared spectroscopy MK Tripathi, PK Reddy, M Neelakantappa Indonesian Journal of Electrical Engineering and Computer Science 31 (3 …, 2023 | 9 | 2023 |
Neutrosophic approach based intelligent system for automatic mango detection MK Tripathi, Shivendra Multimedia Tools and Applications 83 (14), 41761-41783, 2024 | 7 | 2024 |
Improved deep belief network for estimating mango quality indices and grading: A computer vision-based neutrosophic approach MK Tripathi, Shivendra Network: Computation in Neural Systems, 1-29, 2024 | 3 | 2024 |
Multimodal emotion recognition model via hybrid model with improved feature level fusion on facial and EEG feature set P Singh, MK Tripathi, MB Patil, Shivendra, M Neelakantappa Multimedia Tools and Applications 84 (1), 1-36, 2025 | 2 | 2025 |
Mathematical modelling and implementation of NLP for prediction of election results based on social media twitter engagement and polls MK Tripathi, CHV Moorthy, VA Nemade International Journal of Intelligent Systems and Applications in Engineering …, 2024 | 2 | 2024 |
Pothole detection in bituminous road using convolutional neural network with transfer learning MK Tripathi, D Baswaraj, S Deshmukh, K Misal, NP Bhosle, SM Sangve Indonesian Journal of Electrical Engineering and Computer Science 33 (3 …, 2024 | 1 | 2024 |
Emerging technology for smart farming in the agriculture domain: Application and future perspective P Konduru, MK Tripathi, D Khairnar, P Patil, M Patil, G Prashant 2023 International Conference on Advances in Computation, Communication and …, 2023 | 1 | 2023 |
Pothole Detection based on Machine Learning and Deep Learning Models MK Tripathi, S Hasini, M Homamalini, M Neelakantappa 2023 International Conference on Advanced Computing Technologies and …, 2023 | 1 | 2023 |
Detection and Classification of Mango Fruit-Based on Feature Extraction Applying Optimized Hybrid LA-FF Algorithms MK Tripathi, M Neelakantappa, PN Mahalle, SV Channapattana, ... Data-Centric Artificial Intelligence for Multidisciplinary Applications, 177-185, 0 | 1 | |
Unveiling mental health with machine learning and deep learning: Exploring applications and navigating challenges S Kadam, MK Tripathi, C Shewale, P Shelke, PR Futane, S Dedgaonkar Multidisciplinary Science Journal 7 (5), 2025250-2025250, 2025 | | 2025 |