Vinod V. Kimbahune – författare

The rapid evolution of digital technology has transformed agriculture from a reliance on intuition and tradition to a data-driven, precise, and sustainable sector, often referred to as Agriculture 4.0. By early 2026, the integration of AI, IoT, and robotics has become foundational rather than a "e;nice-to-have"e; for optimizing productivity, reducing waste, and mitigating environmental impact. The farms of today are not only led in conventional ways but are becoming empowered in terms of smart systems, data-driven information, and interconnected devices.This new volume, Smart Farm Management Systems: Integrating IoT with Big Data Analytics, provides a clear understanding of how the new technologies can transform agricultural operations, increase the farm productivity, and enhance the sustainability of farming processes. It offers an abundance of real-life practical solutions to farm management challenges. With the combination of IoT-based sensing technologies and the enormous potential of big data analytics, contemporary farms will be able to attain a greater level of precision, transparency, and efficiency in its operations.The book first discusses the challenges of integrating Agriculture 4.0 technologies and then proceeds to explore the myriad uses of smart technologies, such as artificial intelligence, Internet of Things, CNN-based deep learning, big data, chatbots, etc., for a variety of farm-related management issues. These include for green energy generation; for agricultural waste management; for plant disease detection and diagnosis; for security and real-time surveillance threat detection; for data-driven decision making and statistical hypothesis testing; for scheduling of irrigation, fertilization, etc.; for multi-language communication; to estimate and measure yield and field problems; and much more.This volume helps to meet the growing world demand for efficient food production by offering smart farming solutions to the problems of climate change, resources optimization, and monitoring of crop health. Providing diverse perspectives, new research, and practical applications, this volume will prove to be an important resource for students, academicians, researchers, farmers, agritech professionals, and policymakers who are interested to unravel the transformational role of technology in agriculture.

The book is a collection of papers presented at First Doctoral Symposium on Natural Computing Research (DSNCR 2020), held during 8 August 2020 in Pune, India. The book covers different topics of applied and natural computing methods having applications in physical sciences and engineering. The book focuses on computer vision and applications, soft computing, security for Internet of Things, security in heterogeneous networks, signal processing, intelligent transportation system, VLSI design and embedded systems, privacy and confidentiality, big data and cloud computing, bioinformatics and systems biology, remote healthcare, software security, mobile and pervasive computing, biometrics-based authentication, natural language processing, analysis and verification techniques, large scale networking, distributed systems, digital forensics, and human–computer interaction.