Praveen Kumar Shukla – författare

The purpose of this book is to explore the fundamentals and implementation strategies of smart agriculture through the integration of artificial intelligence and Internet of Things technologies. It examines critical aspects of planning and decision-making while providing recommendations for implementing efficient and effective intelligent agriculture solutions. Readers will gain valuable insights into how these smart technologies enhance productivity, sustainability, and precision in contemporary technology-driven farming systems.This book:Discusses artificial intelligence-based 3D mapping of soil, smart weeding systems, and crop visualization in smart agricultureCovers data analytics-based decision-making, improving crop quality based on precise prediction, minimizing the use of pesticides for better soil quality, and precision farming systemsExamines problems like weather forecasting, crop prediction, calculation of pesticide quantity, irrigation requirement, and prediction of the right time for seedingHighlights the role and importance of data visualization techniques in smart agriculture implementationPresents the internet of things and artificial intelligence-based solutions for smart agricultureIt is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, and agricultural science and engineering.

This comprehensive exploration investigates the powerful intersection and the ever-changing impact of machine learning techniques on data analysis in healthcare, transforming the way we approach medical challenges, improve patient outcomes, and enhance healthcare systems. The healthcare industry generates an enormous amount of data, from electronic health records and medical imaging to genomic sequencing and wearable devices. However, the true value of this data lies not in its sheer volume but in the insights it can provide. Machine learning algorithms offer the means to unlock the hidden patterns and knowledge within this data, enabling us to make informed decisions, identify high-risk patients, and personalize interventions for better healthcare outcomes. This volume emphasizes the practical implementation of machine learning techniques, supported by real-world case studies and examples.

This book consists of a collection of the high-quality research articles in the field of computer vision and robotics which are presented in the International Conference on Computer Vision and Robotics (CVR 2021), organized by BBD University Lucknow, India, during 7–8 August 2021.

This book consists of a collection of the high-quality research articles in the field of computer vision and robotics which are presented in the International Conference on Computer Vision and Robotics (CVR 2021), organized by BBD University Lucknow, India, during 7–8 August 2021.

This book is a collection of the high-quality research articles in the field of computer vision and robotics which are presented in International Conference on Computer Vision and Robotics (ICCVR 2022), organized by BBD University Lucknow India, during 21 – 22 May 2022.

This book is a collection of the high-quality research articles in the field of computer vision and robotics which are presented in International Conference on Computer Vision and Robotics (ICCVR 2022), organized by BBD University Lucknow India, during 21 – 22 May 2022.

This book consists of a collection of the high-quality research articles in the field of computer vision and robotics which are presented at the International Conference on Computer Vision and Robotics (CVR 2024), organized by Symbiosis Skills and Professional University, Pune, Maharashtra, India, during 25–26 May 2024.