دانلود کتاب تحول کشاورزی با راهکارهای هوشمند هوش مصنوعی، اینترنت اشیاء و بلاک‌چین برای آینده‌ای دیجیتال

Agriculture is undergoing transformation as digital technologies rapidly integrate with biological and ecological systems. This shift is driven by mounting challenges, including climate variability, natural resource degradation, labor shortages, and the rising demand for food and nutritional security. These factors require a move from traditional, experience-based methods to intelligent, data-driven, and adaptive agricultural systems. Transforming Agriculture with AI, IoT, and Blockchain—Smart Solutions for a Digital Future has been developed to address a notable gap in the literature, where these technologies are frequently examined in isolation rather than as interconnected elements within a unified agricultural innovation ecosystem. By employing a systems-level perspective, this volume explores the scientific foundations, technological architectures, and integrated applications of deep learning, IoT, and blockchain throughout the agricultural value chain. It also addresses critical issues such as data privacy, cybersecurity, algorithmic accountability, and the potential for digital exclusion. This book is designed for a diverse, interdisciplinary audience, including researchers, academics, data scientists, engineers, policymakers, development practitioners, extension professionals, and postgraduate students seeking advanced knowledge of smart agricultural systems. The volume is structured into 17 chapters, progressing from foundational concepts and global perspectives to domain-specific applications of deep learning, IoT, and blockchain. Subsequent chapters present integrative frameworks, case studies from both developed and developing regions, and analyses of socioeconomic impacts, policy considerations, and future innovation pathways. As an edited collection, it features contributions from experts across disciplines and regions, ensuring a balanced integration of theoretical rigor, empirical evidence, and practical relevance. We, the editors, gratefully acknowledge the contributions of all authors, the support of their institutions, and the guidance of the publisher and reviewers. We hope this volume will meaningfully advance sustainable, inclusive, and technology-enabled agricultural transformation.