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Books in Precision agriculture

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    • Sustainable Science and Technologies for Agriculture and Environment

      • 1st Edition
      • May 1, 2026
      • M. Iqbal R Khan + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 6 4 4 6 4
      • eBook
        9 7 8 0 4 4 3 3 6 4 4 7 1
      Sustainable Science and Technologies for Agriculture and Environment: SDG Perspectives explores the mechanistic link between the environmental stress responses mediated by plant growth stimulants and the resulting agricultural stability and food security aligned with targeted SDGs. It enables the reader to understand the impact of persistent environmental concerns, contaminants, and health risks, in the face of increasing global population and the resulting environmental and agricultural needs. The Sustainable Development Goals and agricultural productivity correspond to establish efficient nutrient and food security around the globe. However, the proliferation of environmental stress-induced adversity is simultaneously hampering the goals with regard to the food, economic and green considerations. Sustainable Science and Technologies for Agriculture and Environment: SDG Perspectives provides insights on novel green initiatives designed to align crop production and environmental remediation with the aid of growth stimulants-mediated mechanisms for growth, physiology and yield improvements. Scientists, students and academics in agriculture, crop and environmental sciences will find this resource valuable in understanding the current status of the SDG goals, as well as for inspiring future research.

    • Digital Technologies for Sustainable Agriculture and Food Systems

      • 1st Edition
      • January 1, 2026
      • Tarek Ben Hassen + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 5 0 8 2
      • eBook
        9 7 8 0 4 4 3 3 3 5 0 9 9
      Digital Technologies for Sustainable Agriculture and Food Systems offers a comprehensive review of digital technology's role in supporting sustainable agriculture and food systems. The book explores how digital technologies like precision agriculture, robots, artificial intelligence, and blockchain may boost agricultural output and efficiency while lowering environmental impact. It also investigates how these technologies might assist farmers in connecting with markets, increasing supply chain traceability, and boosting food safety and quality. Serving as a comprehensive guide, this book educates and helps farmers, policymakers, researchers, industry professionals, and other value chain actors in leveraging digital innovations. It also address the pressing challenges faced by the agri-food sector, such as food insecurity, environmental degradation, natural resources depletion, and climate change.

    • AI Technologies for Crop Breeding

      • 1st Edition
      • October 20, 2025
      • Jen-Tsung Chen
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 6 3 3 1
      • eBook
        9 7 8 0 4 4 3 3 3 6 3 4 8
      AI Technologies for Crop Breeding offers the latest insights into the use of artificial intelligence models to improve plant health and production. Presenting applications of AI technologies in plant biology, biotechnology, and crop breeding, it explores practices for the mitigation of biotic and abiotic stressors as well as other plant growth challenges.AI-based technologies are expected to advance approaches to plant functional genomics and multiple omics, resulting in smarter and more efficient crop breeding for next-generation agriculture helping to address the challenges of the increasing human population and the globally changing climate. AI tools such as machine learning, particularly deep learning, have been applied to predict chief players in complicated biological networks, increasing the understanding of in-depth mechanisms of plant-pathogen and plant-environment interactions. Additionally, responses of plants facing stress can be modeled using AI technologies, and the resulting data are valuable not only to plant stress physiology but also for stress-resilient and disease-resistant crop breeding.This book introduces AI technologies for studying plant biology, focusing on machine learning and deep learning models for integrating multiple omics approaches and revealing the knowledge of plant functional genomes. Technological advancements and emerging applications of machine learning and deep learning in genomic selection, genome-wide association study (GWAS), phenotyping and constructing phenomics, and transcriptomics are also featured in this book.AI Technologies for Crop Breeding is an ideal reference for researchers, academics, and advanced-level students and professors in the fields of plant sciences, plant stress physiology, bioinformatics, systems biology, and crop breeding.

    • Nanomaterials for Enhanced Plant-Based Food Production

      • 1st Edition
      • July 14, 2025
      • Huseyin Tombuloglu + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 3 6 8 8 4
      • eBook
        9 7 8 0 4 4 3 2 3 6 9 0 7
      Nanomaterials for Enhanced Plant-Based Food Production a new release in the Nanomaterial-Plant Interactions series, presents up-to-date insights on the use of nano-enabled agricultural tools from nanofertilizers to nanosensors, including how to balance safety and environmental impact concerns to ensure optimal utilization. The book provides a range of solution options and guides the reader in identifying the most appropriate choice. With state-of-the-art, broad coverage of recent and potential applications, this book covers the most recent advances in the application of nanotechnology toward fulfilling the world's food demands for present and future generations.

    • Agri 4.0 and the Future of Cyber-Physical Agricultural Systems

      • 1st Edition
      • April 16, 2024
      • Seifedine Kadry + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 3 1 8 5 1
      • eBook
        9 7 8 0 4 4 3 1 3 1 8 6 8
      Agri 4.0 and the Future of Cyber-Physical Agricultural Systems is the first book to explore the potential use of technology in agriculture with a focus on technologies that enable the reader to better comprehend the full range of CPS opportunities. From planning to distribution, CPS technologies are available to impact agricultural output, delivery, and consumption. Specific sections explore ways to implement CPS effectively and appropriately and cover digitalization of agriculture, digital computers to assist the processes of agriculture with digitized data and allied technologies, including AI, Computer Vision, Big data, Block chain, and IoT. Other sections cover Agri 4.0 and how it can digitalize, estimate, plan, predict, and produce the optimum agricultural inputs and outputs required for commercial purposes. The global team of authors also presents important insights into promising areas of precision agriculture, autonomous systems, smart farming environment, smart production monitoring, pest detection and recovery, sustainable industrial practices, and government policies in Agri 4.0.

    • Genomics, Transcriptomics, Proteomics and Metabolomics of Crop Plants

      • 1st Edition
      • July 11, 2023
      • Azamal Husen + 1 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 5 9 8 9 6
      • eBook
        9 7 8 0 3 2 3 9 5 9 9 0 2
      Genomics, Transcriptomics, Proteomics and Metabolomics of Crop Plants presents current operational methods applied to model crop plants. Including subcellular organelles, DNA fingerprinting and barcoding, sRNA, gene expression, rhizosphere engineering, marker assisted and 5G breeding, plant-microorganism interactions, stress signaling and responses, the book highlights important factors that are often overlooked and explores the latest research. The book also explores cutting-edge approaches for immediate application in new research such as OMICS, genome-wide transcriptome profiling, bioinformatics and database, DNA fingerprinting and barcoding, sRNA, gene expression, genome editing, diagnostics, rhizosphere engineering, marker assisted and 5G breeding, crop plant-microorganism interactions, stress signaling and responses. Additionally, the book describes opportunities to manipulate crop plants genetic and metabolic systems, while also exploring the related bioethical and biosafety issues. These topics are chosen and covered in detail to fill the gap in this understanding of crop molecular biology.

    • Carbon Dots in Agricultural Systems

      • 1st Edition
      • May 23, 2022
      • Raju Khan + 2 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 0 2 6 0 1
      • eBook
        9 7 8 0 3 2 3 9 0 5 7 7 0
      Carbon Dots in Agricultural Systems integrates and crystallizes the emerging knowledge and application strategies of carbon dots as a powerful tool in agriculture systems. The book includes practical insights into the synthesis of carbon dots from indigenous raw materials and how to employ them in agriculture systems to increase crop productivity and provide renewable and cost-effective strategies that meet agricultural needs. Presented by an international team of experts, this resource updates on the latest in synthesis, physical, chemical and optical properties, along with the effects and mechanisms of carbon dots, all further explained in real-world studies. Finally, the book highlights emerging innovative topics which are of great relevance to scientists, academicians and innovators in agriculture (soil science, agricultural chemistry and agronomy) and biotechnology for further research and development.

    • Application of Machine Learning in Agriculture

      • 1st Edition
      • May 14, 2022
      • Mohammad Ayoub Khan + 2 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 0 5 5 0 3
      • eBook
        9 7 8 0 3 2 3 9 0 6 6 8 5
      Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how technology can not only improve agricultural output, but the economic efficiency of that output as well. Through a global lens, the book approaches the subject from a technical perspective, providing important knowledge and insights for effective and efficient implementation and utilization of machine learning. As artificial intelligence techniques are being used to increase yield through optimal planting, fertilizing, irrigation, and harvesting, these are only part of the complex picture which must also take into account the economic investment and its optimized return. The performance of machine learning models improves over time as the various mathematical and statistical models are proven. Presented in three parts, Application of Machine Learning in Smart Agriculture looks at the fundamentals of smart agriculture; the economics of the technology in the agricultural marketplace; and a diverse representation of the tools and techniques currently available, and in development. This book is an important resource for advanced level students and professionals working with artificial intelligence, internet of things, technology and agricultural economics.

    • Plant Breeding and Cultivar Development

      • 1st Edition
      • January 21, 2021
      • D. P. Singh + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 7 5 6 3 7
      • eBook
        9 7 8 0 1 2 8 1 7 5 6 4 4
      Plant Breeding and Cultivar Development features an optimal balance between classical and modern tools and techniques related to plant breeding. Written for a global audience and based on the extensive international experience of the authors, the book features pertinent examples from major and minor world crops. Advanced data analytics (machine learning), phenomics and artificial intelligence are explored in the book's 28 chapters that cover classical and modern plant breeding. By presenting these advancements in specific detail, private and public sector breeding programs will learn about new, effective and efficient implementation. The insights are clear enough that non-plant breeding majoring students will find it useful to learn about the subject, while advanced level students and researchers and practitioners will find practical examples that help them implement their work.

    • Advances in Nano-Fertilizers and Nano-Pesticides in Agriculture

      • 1st Edition
      • November 26, 2020
      • Sudisha Jogaiah + 3 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 0 0 9 2 6
      • eBook
        9 7 8 0 1 2 8 2 0 4 4 4 3
      Advances in Nano-fertilizers and Nano-pesticides in Agriculture: A Smart Delivery System for Crop Improvement explores the use of nanotechnology for the controlled delivery of pesticides, herbicides and fertilizers that improve the safety of products while also increasing the efficiency of food production and decreased environmental pollution. The development of nanodevices such as smart delivery systems to target specific sites, as well as nanocarriers for chemical controlled release are currently important aspects in novel agriculture and require a strong foundation of understanding, not only the technology, but also the resulting impacts.