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Spectral Diagnostic Model for Agricultural Robot System Based on Binary Wavelet Algorithm

Weibin Wu, Ting Tang, Ting Gao, Chongyang Han, Jie Li, Ying Zhang, Xiaoyi Wang, Jianwu Wang, Yuanjiao Feng
2022 Sensors  
The model can provide growth monitoring for sweet corn and a perception model for the nutrient element perception system of an agricultural robot, while making preliminary preparations for the realization  ...  The results show that the neural network nonlinear diagnosis model of nitrogen, phosphorus and potassium content based on the high-frequency wavelet sensitivity coefficient of binary wavelet decomposition  ...  Acknowledgments: The authors acknowledge the editors and reviewers for their constructive comments and all the supports on this work.  ... 
doi:10.3390/s22051822 pmid:35270973 pmcid:PMC8914903 fatcat:wbzwzkmw7bgppoficcen74jgua

Index [chapter]

2021 Cognitive Computing for Human-Robot Interaction  
, 367f Mobile-based robot system, 315 Model of PC utilization, 220 Model predictive control (MPC), 142 Model-View Controller model (MVC model), 33.  ...  , 56À58 robotic assistance for better life, 60 scheme, 266 social companion robots to cheer up and for company, 62À63 system, 262 telemedical network for increasing accessibility, 61 Human beings  ... 
doi:10.1016/b978-0-323-85769-7.00024-0 fatcat:elwoct6va5fxnn37abjdykp3ca

A Review of techniques for Automatic detection and diagnose of mango pathologies

S. B. Ullagaddi, Dr. S.Vishwanadha Raju
2016 International Journal Of Engineering And Computer Science  
Thus the techniques for automatic disease detection and diagnose of agriculture crop or plant plays a major in disease management.  ...  The agriculture is the sole area that serves the entire life on earth. With aid of advanced technology research with new challenges in the field of agriculture is increase the production and profit.  ...  Hence this paper tries to present comprehensive survey on several image processing methods.  ... 
doi:10.18535/ijecs/v5i5.18 fatcat:3dzyd37rmfbxfdvqslinun36pi

Multi-label Classification for Fault Diagnosis of Rotating Electrical Machines [article]

Adrienn Dineva, Amir Mosavi, Mate Gyimesi, Istvan Vajda
2019 arXiv   pre-print
Primary importance is devoted to Fault Detection and Diagnosis (FDI) of electrical machine and drive systems in modern industrial automation.  ...  Performance of various multi-label classification models are compared. Current and vibration signals are acquired under normal and fault conditions.  ...  It is clear that binary relationships can be easily represented with such systems. Early versions of these algorithms are used rather for visualizing diagnostic reasoning.  ... 
arXiv:1908.01078v1 fatcat:exs65e24mvffpmmn2k567gyvqi

Fault Diagnosis of Rotating Electrical Machines Using Multi-Label Classification

Adrienn Dineva, Amir Mosavi, Mate Gyimesi, Istvan Vajda, Narjes Nabipour, Timon Rabczuk
2019 Applied Sciences  
In this research, the Electrical Signature Analysis as well as traditional vibration data have been considered for modeling.  ...  Multi-label classification has recently gained popularity in various application domains as an efficient method for fault detection and monitoring of systems with promising results.  ...  It is clear that binary relationships can be easily represented by such systems. Early versions of these algorithms are used rather for visualizing diagnostic reasoning.  ... 
doi:10.3390/app9235086 fatcat:3nl3t4w45bbillr6x43zl6lydq

An In-depth Analysis of Applications of Object Recognition

Abijith Sankar, Akash Suresh, P. Varun Babu, A. Baskar, Shriram K. Vasudevan
2015 Research Journal of Applied Sciences Engineering and Technology  
Image processing has become one of the most unavoidable fields of engineering. The way the applications are designed based on Image processing is simply superb.  ...  Then attention is paid towards robotic applications. Remote sensing is also observed to be one of the hottest sectors which deploys objects recognition techniques to a better extent.  ...  There are three broad categories of approaches; statistical, spectral and model-based. Based on the type of features under inspection, one of the above approaches is chosen.  ... 
doi:10.19026/rjaset.10.2547 fatcat:mbjmusdovvhbxdbvgmbdna3qzu

Application status and challenges of machine vision in plant factory—A review

Zhiwei Tian, Wei Ma, Qichang Yang, Famin Duan
2021 Information Processing in Agriculture  
The shortage of standard agricultural datasets also keeps deep learning and unsupervised classification algorithms from making progress.  ...  To provide references and a starting point for those who are committed to studying this issue.  ...  Acknowledgments The authors thank the experts for editing our paper.  ... 
doi:10.1016/j.inpa.2021.06.003 fatcat:gleolgrx7bcqnfod623e2bd3a4

Papers by Title

2019 2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)  
Filter-based Feature Refinement Binary Relevance Model for Activity Recognition in Home Environment using Ambient Sensors BN-IQA: A Rapid Image Quality Assessment based on Blue Noise Dithering Boundary  ...  a Construction Tool for the Web-based Diagnostic Multimedia Test Developing Cause-Effect Relational Evaluation Model to Approach Alarm Management System Development and Implementation of Solar-Assisted  ... 
doi:10.1109/icce-tw46550.2019.8991721 fatcat:62376ymadzge3g5xomicr5tesq

Artificial-intelligence and sensing techniques for the management of insect pests and diseases in cotton: a systematic literature review

R. Toscano-Miranda, M. Toro, J. Aguilar, M. Caro, A. Marulanda, A. Trebilcok
2022 Journal of Agricultural Science  
IPM is based on two important aspects – prevention and monitoring of diseases and insect pests – which today are being assisted by sensing and artificial-intelligence (AI) techniques.  ...  Finally, this paper presents future works related to the use of AI and sensing techniques, to manage diseases and insect pests, in cotton; for instance, implement diagnostic, predictive and prescriptive  ...  The authors thank the anonymous reviewers for their insights, comments and suggestions.  ... 
doi:10.1017/s002185962200017x fatcat:u6jwlbkwz5gulforscrhdgxpki

Papertitles

2019 2019 8th International Conference on Modeling Simulation and Applied Optimization (ICMSAO)  
Over Multiple-Input Multiple-Output Systems Enhanced JPEG Algorithm for Colored Images Based on FPGA Implementation Enhancing Branch Predictors using Genetic Algorithm Enhancing the performance of Labyrinth  ...  model for predicting anhydrite calcium sulfate scale deposition in brines Simulation-Based Approach for Reducing Goods Loading Time Smart and Green Street Lighting System Based on Arduino and RF Wireless  ... 
doi:10.1109/icmsao.2019.8880446 fatcat:hitkakka4fbw5klyxiqdfnooeq

Proceedings Of The 7Th Asian-Australasian Conference On Precision Agriculture [article]

W Nelson
2017 Zenodo  
Proceedings of the 7th Asian-Australasian Conference on Precision Agriculture, ABSTRACTS  ...  We show that models based on machine learning algorithms provide significant improvement in accuracy in comparison with a state of the art energy balance model based on OLS.  ...  Poster Wireless soil sampling and recording system based on Android Poster On-line modeling of tractor pitch angle based on ARMA Methods: An on-line modelling approach based on the time-series  ... 
doi:10.5281/zenodo.1006669 fatcat:jb6sqa7ayngmlg7amwlpdkfmcy

Intelligent Diagnostic system for the rachet mechanism faults detection using acoustic analysis

Bartosz Połok, Piotr Bilski
2021 Measurement (London)  
A B S T R A C T The paper presents the diagnostic procedure for the ratchet mechanisms' fault detection based on the acoustic signal analysis.  ...  The diagnostic framework was proposed, consisting in three steps. First, the symptoms are extracted from audio recordings using the proposed measurement system.  ...  Fig. 3 . 3 Diagnostic architecture for mechanical systems based on the acoustic signals analysis. Fig. 4 . 4 Measurement system for the ratchet mechanism diagnostics.  ... 
doi:10.1016/j.measurement.2021.109637 fatcat:ppap3b3ck5bilal7pgiyc6xfym

Proceedings Of The 7Th Asian-Australasian Conference On Precision Agriculture [article]

W Nelson
2017 Zenodo  
Proceedings of the 7th Asian-Australasian Conference on Precision Agriculture, ABSTRACTS  ...  We show that models based on machine learning algorithms provide significant improvement in accuracy in comparison with a state of the art energy balance model based on OLS.  ...  Database model was based on standardized data model for observations from OGC Observations&Measurements.  ... 
doi:10.5281/zenodo.1006670 fatcat:wupvtcswufg3bkpm3mdkrn5a4m

Use of Hyperspectral/Multispectral Imaging in Gastroenterology. Shedding Some–Different–Light into the Dark

Samuel Ortega, Himar Fabelo, Dimitris K. Iakovidis, Anastasios Koulaouzidis, Gustavo M. Callico
2019 Journal of Clinical Medicine  
These spectral techniques are based on the principle that every material has a different response (reflection and absorption) to different wavelengths.  ...  HSI has demonstrated good discrimination capabilities for materials in fields, for instance, remote sensing, pollution monitoring, field surveillance, food quality, agriculture, astronomy, geological mapping  ...  On the one hand, spectral unmixing techniques, such as those based on Linear Mixture Models (LMMs), make the assumption that each pixel of an HS image can be modeled as the weighted sum of pure spectra  ... 
doi:10.3390/jcm8010036 pmid:30609685 pmcid:PMC6352071 fatcat:ww3erwazhveqthxfjya27tg3fq

2020 Index IEEE Transactions on Instrumentation and Measurement Vol. 69

2020 IEEE Transactions on Instrumentation and Measurement  
Meenalochani, M., and Sudha, S., Influence of Received Signal Strength on Prediction of Cluster Head and Number of Rounds; TIM June 2020 3739-3749 Hendeby, G., see Kasebzadeh, P., TIM Aug. 2020 5862  ...  Converter Using All-Digital Nested Delay-Locked Loops With 50-ps Resolution and High Throughput for LiDAR TIM Nov. 2020 9262-9271 Helsen, J., see Huchel, L., TIM July 2020 4145-4153 Hemavathi, N.,  ...  Band-pass filters A Novel Rolling Bearing Fault Diagnosis Method Based on Empirical Wavelet Transform and Spectral Trend.  ... 
doi:10.1109/tim.2020.3042348 fatcat:a5f4fsqs45fbbetre6zwsg3dly
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