Binay Kumar Singh – författare

This book offers a detailed look into the latest advancements and strategies for managing biotic and abiotic stresses in wheat cultivation, with a focus on Indian agricultural conditions. It addresses the critical challenges that wheat faces due to diseases, environmental stressors, and physiological disorders. The book provides sustainable and scientifically validated solutions to enhance wheat resilience, ensuring improved crop productivity. The book is organized into various chapters that systematically explore key areas of wheat stress management. It begins with an overview of the major biotic and abiotic challenges affecting wheat production in India. It then delves into advancements in breeding stress-resilient wheat cultivars, including both molecular and conventional techniques. Specific chapters explore the management of wheat diseases (such as spike, foliar, and stem diseases), root and stem rot, and various abiotic stress factors such as drought, heat, salinity, and waterlogging. Additionally, it covers physiological disorders and metal/metalloid stress management. Innovative topics such as the application of nanotechnology and artificial intelligence (AI) in stress mitigation are discussed in detail. The book also evaluates how climate change impacts wheat production and suggests adaptive strategies. This book will be an invaluable resource for agricultural researchers, plant geneticists, agronomists, crop physiologists, crop pathologists, policymakers, and postgraduate students. It bridges the gap between cutting-edge research and practical field-level applications, providing a scientific foundation for developing sustainable solutions to secure wheat production and contribute to global food security.

This book offers a detailed look into the latest advancements and strategies for managing biotic and abiotic stresses in wheat cultivation, with a focus on Indian agricultural conditions. It addresses the critical challenges that wheat faces due to diseases, environmental stressors, and physiological disorders. The book provides sustainable and scientifically validated solutions to enhance wheat resilience, ensuring improved crop productivity. The book is organized into various chapters that systematically explore key areas of wheat stress management. It begins with an overview of the major biotic and abiotic challenges affecting wheat production in India. It then delves into advancements in breeding stress-resilient wheat cultivars, including both molecular and conventional techniques. Specific chapters explore the management of wheat diseases (such as spike, foliar, and stem diseases), root and stem rot, and various abiotic stress factors such as drought, heat, salinity, and waterlogging. Additionally, it covers physiological disorders and metal/metalloid stress management. Innovative topics such as the application of nanotechnology and artificial intelligence (AI) in stress mitigation are discussed in detail. The book also evaluates how climate change impacts wheat production and suggests adaptive strategies. This book will be an invaluable resource for agricultural researchers, plant geneticists, agronomists, crop physiologists, crop pathologists, policymakers, and postgraduate students. It bridges the gap between cutting-edge research and practical field-level applications, providing a scientific foundation for developing sustainable solutions to secure wheat production and contribute to global food security.

This book explores the use of Deep Learning, Internet of Things (IoT), and Blockchain in transforming agriculture. It focuses on the role of these technologies in improving productivity, decision-making, and transparency in farming systems. The book is structured to offer a clear understanding of each technology and their combined impact on agriculture.It begins with an overview of agricultural evolution and the role of innovation in addressing climate, resource, and labor challenges. It then explains the basics of smart technologies and their integration into farming systems. The next section covers deep learning applications in crop monitoring, soil health, predictive analytics, and robotics. IoT chapters discuss precision farming, sensor networks, smart irrigation, and greenhouse automation. Blockchain chapters focus on supply chain traceability, smart contracts, and data security. The final section presents integrated systems, global case studies, socio-economic impacts, future trends, and policy frameworks.This book is a useful resource for agricultural researchers, AI and data professionals, agribusiness experts, development planners, and students. It supports academic learning, policy development, and practical implementation. Readers gain insights into real-world applications, system design, and inclusive digital strategies for agriculture.