singh uday pratap (27 Ergebnisse)

Zustand: New. pp. 278.

Zustand: New. pp. 246.

Hardcover. Zustand: New. RUSSIA-UKRAINE WAR: Strategic Conundrum presents a compelling and thorough analysis of one of today's most pivotal geopolitical conflicts. This book explore into the intricate dynamics of the Russia-Ukraine war, exploring its extensive implications in depth. By examining India's strategic response, it provides a unique perspective on how both global and regional powers navigate the complexities of this conflict. The text meticulously details India's approach, security concerns, and insights into the evolving nature of warfare, shedding light on crucial lessons for understanding modern strategic challenges. Beyond its regional focus, this book analyses the broader global ramifications of the war. It explores how the conflict has reshaped global diplomacy and geopolitics, influencing international relations and economic stability. The narrative extends into a historical context, offering valuable insights into the conflict's development and its implications for the emerging world order. Through an examination of geopolitical, geo-strategic, and geo-economic forces, this book provides a comprehensive understanding of the war and its impact on global power dynamics and economic trends. This book also addresses the regional consequences of the war, highlighting the varying responses and effects across different areas. It assesses the strategic implications for regions such as South and Southeast Asia, the Gulf States, and the Indo-Pacific. Additionally, this book scrutinizes the roles of international institutions like the European Union and the United Nations Security Council, presenting a well-rounded view of their involvement in the conflict. This multi-dimensional exploration offers readers a deep and nuanced understanding of the war's impact on both regional and global scales.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Hardcover. Zustand: New. 1. Pearl Millet - Nature s Versatile Treasure - Anuj Mishra, Rakesh Kumar, Sandeep Kumarand Indra Pratap Singh 2. Finger Millet - Cultivating Resilience and Nourishing Generations and Earth in Harmony -Shubham Verma, Kumar Sanu, Gopal Katna and Uday Govinda Reddy 3. Sorghum - The Golden Grain for Resilience and Wellness -Shrigovind, Chaitanya Thakur, RhitishaSood and Kapil Gautam 4. Foxtail Millet - Rediscovering a Forgotten Gem -Surbhi Patyal, Ashish Bhatt, Diksha and Gopal Katna 5. Proso Millet - Nurturing Body, Community and Earth -RhitishaSood, Vivek Singh, Indra Pratap Singh and Uday Govinda Reddy 6. Barnyard Millet - Unveiling the Ancient Grain s Modern Resurgence -Kumari Pragati, RhitishaSood, Vinay Rojaria, Thotla Naresh and Gaurav Sharma 7. Little Millet - A Smaller Grain with Bigger Impact -Surbhi Patyal, Chaitanya Thakur, Kumar Sanu and Abhishek Kumar 8. Kodo Millet - Sowing Sustainability for a Flourishing Future -Kumar Sanu, Abhishek Kumar, RhitishaSood and Uday Govinda Reddy 9. Jobs Tears - An Ancient Grains Modern Revival -Kumar Sanu, Shubham Verma, Chaitanya Thakur and Vivek Singh 10. Teff and Fonia Millet - A Nutrient-Rich Journey Through Time -Priya Garkoti, Anu Singh, Vivek Singh and Gaurav Sharma 11. Brown Top and Guinea Millet - Cultivating Ancient Grains for Present-day Wellness -Rukoo Chawla, Aparna S., AvadhootBalasahebDharmadhikari,MinakshiJattanand Dalbir Singh Phogat 12. Buckwheat - Rediscovering the Forgotten Superfood -Vivek Singh, Chaitanya Thakur, Kumar Sanu and Gopal Katna 13. Amaranth - A Nutritional Powerhouse for Vibrant Living -Anuj Mishra, Rakesh Kumar, Vivek Singh andPramod K.

Paperback. Zustand: Brand New. 214 pages. 9.44x6.69x0.33 inches. In Stock.

Buch. Zustand: Neu. Neuware.

hardcover. Zustand: Very Good.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Neural Networks is an integral part in machine learning and a known tool for controlling nonlinear processes. The area is under rapid development and provides a tool for modelling and controlling of advanced processes. This book provides a comprehensive overview for modelling, simulation, measurement and control strategies for reactive distillations using neural networks.

Taschenbuch. Zustand: Neu. Reactive Distillation | Advanced Control using Neural Networks | Uday Pratap Singh (u. a.) | Taschenbuch | XI | Englisch | 2022 | De Gruyter | EAN 9783110656145 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafety[at]degruyterbrill[dot]com | Anbieter: preigu.

Zustand: New.

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 344 | Sprache: Englisch | Produktart: Bücher | This edited book focus on two most emerging areas and covers the different aspects of computer vision and drone technology in the field of agriculture. It comprises various applications including segmentation/classification of plant diseases, monitoring of crops, grade/quality estimation of fruits/flowers/vegetables/crops, surveillance, soil deficiency estimation, crop/plant growth estimation, canopy measurement, water stress management, vegetation indices calculation, weed detection, and spraying, among other. It has 17 chapters contributed by experts in the field of computer vision, drone technology, deep learning, machine learning, artificial intelligence, image processing, agriculturist, and plant pathologists.The recent development of high-end computing devices and the adaptation of unmanned aerial vehicles has provided a mechanism to automate traditional agriculture practices. The on-field or aerial images captured using cameras are processed with the help of intelligent algorithms, and an assessment is drawn for further recommendations. This practice is efficient in provisioning an accurate, timely, and economical decision-making system to overcome the problems of agricultural field experts and farmers. This process is advantageous in increasing the quality and quantity of crop yields.This book serves as an excellent guide to students, researchers, scientists, and field experts in directing their work toward this domain and developing/designing models. Further, this book is useful for pathologists, biotechnologists, seed production specialists, breeders, market managers, and other stakeholders associated with underlying technology or market development from the public and private sectors.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 344 | Sprache: Englisch | Produktart: Bücher | This edited book focus on two most emerging areas and covers the different aspects of computer vision and drone technology in the field of agriculture. It comprises various applications including segmentation/classification of plant diseases, monitoring of crops, grade/quality estimation of fruits/flowers/vegetables/crops, surveillance, soil deficiency estimation, crop/plant growth estimation, canopy measurement, water stress management, vegetation indices calculation, weed detection, and spraying, among other. It has 17 chapters contributed by experts in the field of computer vision, drone technology, deep learning, machine learning, artificial intelligence, image processing, agriculturist, and plant pathologists.The recent development of high-end computing devices and the adaptation of unmanned aerial vehicles has provided a mechanism to automate traditional agriculture practices. The on-field or aerial images captured using cameras are processed with the help of intelligent algorithms, and an assessment is drawn for further recommendations. This practice is efficient in provisioning an accurate, timely, and economical decision-making system to overcome the problems of agricultural field experts and farmers. This process is advantageous in increasing the quality and quantity of crop yields.This book serves as an excellent guide to students, researchers, scientists, and field experts in directing their work toward this domain and developing/designing models. Further, this book is useful for pathologists, biotechnologists, seed production specialists, breeders, market managers, and other stakeholders associated with underlying technology or market development from the public and private sectors.

Taschenbuch. Zustand: Neu. Applications of Computer Vision and Drone Technology in Agriculture 4.0 | Siddharth Singh Chouhan (u. a.) | Taschenbuch | xxiii | Englisch | 2025 | Springer | EAN 9789819986866 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Buch. Zustand: Neu. Neuware -This edited volume explores the integration of artificial intelligence to improve crop production. It addresses the critical need for intelligent crop management in light of the world's escalating population. Encompassing a spectrum of technologies, including computer vision, image processing, soft computing, machine learning, and deep learning, the book explores advancements in decision-making systems. It integrates data science methodologies, Internet of Things, wireless communications, and a range of sensors and actuators to provide precise, timely, and cost-effective solutions to agricultural challenges, ultimately enhancing both the quality and quantity of crop yields. The book empowers its audience to direct their efforts towards designing models and prototypes that benefit society and the environment, making it an indispensable resource for those eager to shape the future of intelligent agriculture.It serves as a comprehensive guide for students, scholars, and academicians keen on delving into the transformative field of artificial intelligence in agriculture. Researchers, scientists, and field experts will find invaluable insights to guide their exploration and contribution to this domain.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 312 pp. Englisch.

Buch. Zustand: Neu. Neuware -This edited book focus on two most emerging areas and covers the different aspects of computer vision and drone technology in the field of agriculture. It comprises various applications including segmentation/classification of plant diseases, monitoring of crops, grade/quality estimation of fruits/flowers/vegetables/crops, surveillance, soil deficiency estimation, crop/plant growth estimation, canopy measurement, water stress management, vegetation indices calculation, weed detection, and spraying, among other. It has 17 chapters contributed by experts in the field of computer vision, drone technology, deep learning, machine learning, artificial intelligence, image processing, agriculturist, and plant pathologists.The recent development of high-end computing devices and the adaptation of unmanned aerial vehicles has provided a mechanism to automate traditional agriculture practices. The on-field or aerial images captured using cameras are processed with the help of intelligent algorithms, and an assessment is drawn for further recommendations. This practice is efficient in provisioning an accurate, timely, and economical decision-making system to overcome the problems of agricultural field experts and farmers. This process is advantageous in increasing the quality and quantity of crop yields.This book serves as an excellent guide to students, researchers, scientists, and field experts in directing their work toward this domain and developing/designing models. Further, this book is useful for pathologists, biotechnologists, seed production specialists, breeders, market managers, and other stakeholders associated with underlying technology or market development from the public and private sectors.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 348 pp. Englisch.

Hardcover. Zustand: Brand New. 402 pages. 9.18x6.12x9.21 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited volume explores the integration of artificial intelligence to improve crop production. It addresses the critical need for intelligent crop management in light of the world's escalating population. Encompassing a spectrum of technologies, including computer vision, image processing, soft computing, machine learning, and deep learning, the book explores advancements in decision-making systems. It integrates data science methodologies, Internet of Things, wireless communications, and a range of sensors and actuators to provide precise, timely, and cost-effective solutions to agricultural challenges, ultimately enhancing both the quality and quantity of crop yields. The book empowers its audience to direct their efforts towards designing models and prototypes that benefit society and the environment, making it an indispensable resource for those eager to shape the future of intelligent agriculture.It serves as a comprehensive guide for students, scholars, and academicians keen on delving into the transformative field of artificial intelligence in agriculture. Researchers, scientists, and field experts will find invaluable insights to guide their exploration and contribution to this domain.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited book focus on two most emerging areas and covers the different aspects of computer vision and drone technology in the field of agriculture. It comprises various applications including segmentation/classification of plant diseases, monitoring of crops, grade/quality estimation of fruits/flowers/vegetables/crops, surveillance, soil deficiency estimation, crop/plant growth estimation, canopy measurement, water stress management, vegetation indices calculation, weed detection, and spraying, among other. It has 17 chapters contributed by experts in the field of computer vision, drone technology, deep learning, machine learning, artificial intelligence, image processing, agriculturist, and plant pathologists.The recent development of high-end computing devices and the adaptation of unmanned aerial vehicles has provided a mechanism to automate traditional agriculture practices. The on-field or aerial images captured using cameras are processed with the help of intelligent algorithms, and an assessment is drawn for further recommendations. This practice is efficient in provisioning an accurate, timely, and economical decision-making system to overcome the problems of agricultural field experts and farmers. This process is advantageous in increasing the quality and quantity of crop yields.This book serves as an excellent guide to students, researchers, scientists, and field experts in directing their work toward this domain and developing/designing models. Further, this book is useful for pathologists, biotechnologists, seed production specialists, breeders, market managers, and other stakeholders associated with underlying technology or market development from the public and private sectors.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited book focus on two most emerging areas and covers the different aspects of computer vision and drone technology in the field of agriculture. It comprises various applications including segmentation/classification of plant diseases, monitoring of crops, grade/quality estimation of fruits/flowers/vegetables/crops, surveillance, soil deficiency estimation, crop/plant growth estimation, canopy measurement, water stress management, vegetation indices calculation, weed detection, and spraying, among other. It has 17 chapters contributed by experts in the field of computer vision, drone technology, deep learning, machine learning, artificial intelligence, image processing, agriculturist, and plant pathologists.The recent development of high-end computing devices and the adaptation of unmanned aerial vehicles has provided a mechanism to automate traditional agriculture practices. The on-field or aerial images captured using cameras are processed with the help of intelligent algorithms, and an assessment is drawn for further recommendations. This practice is efficient in provisioning an accurate, timely, and economical decision-making system to overcome the problems of agricultural field experts and farmers. This process is advantageous in increasing the quality and quantity of crop yields.This book serves as an excellent guide to students, researchers, scientists, and field experts in directing their work toward this domain and developing/designing models. Further, this book is useful for pathologists, biotechnologists, seed production specialists, breeders, market managers, and other stakeholders associated with underlying technology or market development from the public and private sectors.

Zustand: New.

Hardcover. Zustand: Brand New. 309 pages. 9.25x6.10x9.32 inches. In Stock.

Hardcover. Zustand: Brand New. 344 pages. 9.25x6.10x9.21 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores how modern technologies are changing the way we farm and produce food. It brings together a wide range of smart farming tools and digital solutions that are shaping the future of agriculture. The book covers both the opportunities and challenges that come with using technology in farming and offers practical solutions.The chapters begin with an introduction to the AgriTech revolution and the basic concepts of agricultural technology. It then explores precision agriculture and how computer vision, IoT, and artificial intelligence are helping farmers improve productivity. Readers will also learn about robotics, automation, data analytics, and data visualization in agriculture. Other chapters discuss the role of blockchain in the supply chain, remote sensing, and smart greenhouses. The final chapters focus on sustainability and future trends in AgriTech.This book is a valuable resource for students, researchers, academicians, and professionals who want to understand how advanced technologies are applied in modern farming. It will also benefit those interested in building solutions for digital agriculture and smart farming systems.

Hardcover. Zustand: Brand New. 350 pages. 9.26x6.11x9.21 inches. In Stock.