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Computer Vision and Robotics : Proceedings of CVR 2023 / / edited by Praveen Kumar Shukla, Himanshu Mittal, Andries Engelbrecht
| Computer Vision and Robotics : Proceedings of CVR 2023 / / edited by Praveen Kumar Shukla, Himanshu Mittal, Andries Engelbrecht |
| Autore | Shukla Praveen Kumar |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (567 pages) |
| Disciplina | 629.8 |
| Altri autori (Persone) |
MittalHimanshu
EngelbrechtAndries |
| Collana | Algorithms for Intelligent Systems |
| Soggetto topico |
Automatic control
Robotics Automation Image processing - Digital techniques Computer vision Human-machine systems Cooperating objects (Computer systems) Control, Robotics, Automation Computer Imaging, Vision, Pattern Recognition and Graphics Human-Machine Interfaces Cyber-Physical Systems |
| ISBN |
9789819945771
9819945771 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Rebalancing Algorithm for Bike Sharing System Networks with Uncertain Inventories and Stations with Finite Capacity -- Sensor-Based Personal Activity Recognition Using Mixed 5 -Layer -CNN-LSTM and Hyperparameter Tunning -- Distance and Similarity measures of Hesitant Bi-fuzzy set and its applications in pattern recognition problem -- Impact of Machine Learning in Education -- Lung Disease Classification Using CNN -- Machine learning approach for Traffic sign detection and indication using open CV with Python -- Determining the Fruit Ripening stage using Convolution Neural Networks -- A comprehensive review and discussion on Corn Leaf disease detection using Artificial Intelligence -- A Case Study of Selecting Suitable Agribots in Agri-Farming -- A Survey on Novel Hybrid Metaheuristic Algorithms for Image Segmentation -- A ranking method for the linguistic q-rung orthopair fuzzy set based on possibility degree measure -- Impact of DFIM Controller Parameters on SSR Characteristics of Wind Energy Conversion System with Series Capacitor Compensation -- Structured Image Detection Using Deep Learning (SIDUD) -- Enhanced Heart Disease Predicion using Hybrid Random Forest with Linear Model -- Rice Crop Disease Detection Using Machine Learning Algorithms -- Machine Learning Algorithms for Polycystic Ovary Syndrome/Polycystic Ovarian Syndrome Detection: A Comparison -- Synthesizing Music By Artist's Style Transfer using VQ-VAE and Diffusion Model -- Segmentation and Classification for Plant Leaf Identification Using Deep Learning Model -- Analyzing Machine Learning Algorithm for Breast Cancer Diagnosis -- IoT Application on Home Automation with Smart Meter -- Personal Area Network (PAN) Smart Guide for the Blind (PSGB) -- Brain MRI Classification: A Systematic Review -- A Step Towards Smart Farming: Unified Role of AI and IoT. . |
| Record Nr. | UNINA-9910746961603321 |
Shukla Praveen Kumar
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Future Farming
| Future Farming |
| Autore | Shukla Praveen Kumar |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Sharjah : , : Bentham Science Publishers, , 2023 |
| Descrizione fisica | 1 online resource (166 pages) |
| Altri autori (Persone) | BeraTushar Kanti |
| Soggetto topico |
Agricultural innovations
Machine learning |
| ISBN |
9789815124729
9815124722 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Table of Content -- Title -- BENTHAM SCIENCE PUBLISHERS LTD. -- End User License Agreement (for non-institutional, personal use) -- Usage Rules: -- Disclaimer: -- Limitation of Liability: -- General: -- FOREWORD -- PREFACE -- List of Contributors -- Enhanced Machine Learning Techniques for Pest Control and Leaf Disease Identification -- Abstract -- INTRODUCTION -- RELATED WORK -- BACKGROUND STUDY -- Artificial Neural Network (ANN) -- Mayfly Optimization -- Male Mayflie's Movement -- Female Mayflie's Movement -- Mating of Mayfly -- BLACK WINDOW OPTIMIZATION -- Mathematical Evaluation -- PROPOSED METHODOLOGY -- Pre-processing -- Leaf Image from Plants - Segmentation Model Using Improved Canny Algorithm -- Steps of Improved Canny Algorithm -- Leaf Image Feature Selection Using Hybrid Black Widow Optimization Algorithm with Mayfly Optimization Algorithm (BWO-MA) -- Pseudo-Code of the Hybrid (BWO-MA) Algorithm -- Output: Objective Function's -RMSE -- Leaf Image Classification Using (BWO-MA) with ANN -- Hyper-Parameter Tuning With (BWO-MA) -- RESULT AND DISCUSSION -- Dataset Description -- Evaluation & -- Results -- CONCLUSION -- REFERENCES -- Automatic Recognition and Classification of Tomato Leaf Diseases Using Transfer Learning Model -- Abstract -- INTRODUCTION -- EXISTING WORKS -- MATERIALS AND METHODS -- Related Works -- Convolution Neural Network -- Convolution Layer -- Activation Layer -- Pooling Layer -- Fully Connected Layer -- SqueezeNet -- PROPOSED WORK -- Image Acquisition (Dataset) -- Image Pre-Processing -- Establishing a New Deep Network Using Transfer Learning -- Recognition and Classification -- EXPERIMENTAL RESULTS AND DISCUSSION -- Experimental Setting and Environment -- Evaluation Metrics -- Experiment Deployment and Result Analysis -- Comparison with Earlier Works -- CONCLUSION AND FUTURE SCOPE -- ACKNOWLEDGEMENTS.
REFERENCES -- Detection and Categorization of Diseases in Pearl Millet Leaves using Novel Convolutional Neural Network Model -- Abstract -- INTRODUCTION -- LITERATURE STUDY AND RELATED WORK -- DATA AND METHODOLOGY -- Data Acquisition -- Data Pre-processing -- Model Building and Validation -- Evaluation Metrics -- RESULTS AND ANALYSIS -- CONCLUSION AND DISCUSSION -- ACKNOWLEDGEMENTS -- References -- Artificial Intelligence-based Solar Powered Robot to Identify Weed and Damage in Vegetables -- Abstract -- INTRODUCTION -- DIGITAL AGRICULTURE: IMPACT & -- CHALLENGES -- INTRODUCTION TO ROBOTICS -- Robotics -- Need of Robotics -- Industrial Robots -- Automation and Robotics -- Control Systems for Robotics -- Limited Sequence Robots (Non-Servo) -- Point to Point Motion -- Continuous Path Motion -- Intelligent Robots -- Presence of Movement for Robots in the Agriculture Sector -- AN INTRODUCTION TO SOLAR ENERGY -- Photovoltaic Effect on Solar Generation -- Solar Cell: Construction and Working -- LOAD CALCULATION OF SOLAR PANELS -- For DC Loads -- For AC Loads -- Deciding Battery capacity -- SAMPLE SYSTEM DESIGN -- AGRICULTURAL ROBOT -- Mechanical Design of Agricultural Robot -- WORKING OF SOLAR ROBOT -- COMPUTER VISION AND MACHINE LEARNING -- EVALUATING THE QUALITY OF VEGETABLES USING MACHINE VISION -- CLASSIFICATION ALGORITHM -- METHODS FOR COLOUR SELECTION AND EXTRACTION -- CONCLUSION AND FUTURE SCOPE -- ACKNOWLEDGEMENTS -- REFERENCES -- Field Prevention System from Wild Animals -- Abstract -- INTRODUCTION -- LITERATURE REVIEW -- PROPOSED INNOVATION SYSTEM -- Regular CNN -- FLOWCHART -- Algorithm: -- SYSTEM REQUIREMENTS -- OPERATING SYSTEM- -- SOFTWARE REQUIREMENTS -- HARDWARE REQUIREMENTS -- DESIGN AND IMPLEMENTATION CONSTRAINTS -- Sensors -- Boards -- Others -- BLOCK DIAGRAM -- HARDWARE RESULT -- CONCLUSION -- Acknowledgments -- REFERENCES. Weather Forecasting using Machine Learning for Smart Farming -- Abstract -- INTRODUCTION -- LITERATURE REVIEW -- WEATHER FORECAST USING LINEAR REGRESSION, AUTOREGRESSIVE INTEGRATED MOVING AVERAGE AND LONG-SHORT TERM MEMORY MODEL -- Linear Regression -- Auto-Regressive Integrated Moving Average (ARIMA) -- Long short-term memory (LSTM) -- The Architecture of LSTM Network -- EXPERIMENTAL RESULTS -- CONCLUSION -- REFERENCES -- Intelligent Crop Planning and Precision Farming -- Abstract -- INTRODUCTION -- Precision Farming -- Need for Precision Farming -- Precision Farming and changing times -- Past -- Present -- Precision Farming: Scenario of India -- Precision Farming: An add on -- Tools and Techniques Used for Precision Farming -- Global Positioning System (GPS) -- Sensor Technologies -- Geographic Information System (GIS) -- Grid Soil Sampling and Variable-rate Fertilizer (VRT) Application -- Crop Management -- Soil and Plant Sensors -- Rate Controllers -- Precision Irrigation in Pressurized Systems -- Software -- Intelligent Crop Planning -- Intelligent Crop Planning and Artificial Intelligence -- Climate-smart Agriculture -- Challenges that Remain -- Data -- Infrastructure -- CONCLUSION -- REFERENCES -- Artificial Intelligence and Drones in Smart Farming -- Abstract -- INTRODUCTION -- CONTRIBUTION OF THE AGRICULTURE SECTOR IN DIFFERENT TERMS -- Contribution to Employment -- Contribution to Exports -- Contribution to GDP -- METHODS TO IMPROVE FARMING PRODUCTIVITY -- Reformation of Land -- Challenges -- Inter-plantation -- Challenges -- Smart Water Management -- Challenges -- Heat Tolerant Varieties -- Challenges -- Plant Protection -- Challenges -- USE OF TECHNOLOGY IN AGRICULTURE TO OVERCOME CHALLENGES -- Improvement in Productivity Through the Mechanization of Agriculture -- Climate Forecasting Prediction Through Artificial Intelligence. Improving Farm Yields and Supply Chain Management Uses Big Data. -- Why Agricultural Drone Should be adopted? -- How can Drones Support Indian Agriculture? -- WORKING OF DRONE TECHNOLOGY -- BEST DRONE PRACTICES -- BENEFITS OF DRONE TECHNOLOGY -- DISCUSSION -- CONCLUSION -- REFERENCES. |
| Record Nr. | UNINA-9910915789903321 |
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Shukla Praveen Kumar
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| Sharjah : , : Bentham Science Publishers, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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