Towards Responsible Plant Data Linkage Data Challenges For Agricultural Research And Development
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Towards Responsible Plant Data Linkage Data Challenges For Agricultural Research And Development
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Author : Hugh F. Williamson
language : en
Publisher: Springer Nature
Release Date : 2022-10-26
Towards Responsible Plant Data Linkage Data Challenges For Agricultural Research And Development written by Hugh F. Williamson and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-26 with Science categories.
This open access book provides the first systematic overview of existing challenges and opportunities for responsible data linkage, and a cutting-edge assessment of which steps need to be taken to ensure that plant data are ethically shared and used for the benefit of ensuring global food security – one of the UN’s Sustainable Development Goals. The volume focuses on the contemporary contours of such challenges through sustained engagement with current and historical initiatives and discussion of best practices and prospective future directions for ensuring responsible plant data linkage. The volume is divided into four sections that include case studies of plant data use and linkage in the context of particular research projects, breeding programs, and historical research. It address technical challenges of data linkage in developing key tools, standards and infrastructures, and examines governance challenges of data linkage in relation to socioeconomic and environmental research and data collection. Finally, the last section addresses issues raised by new data production and linkage methods for the inclusion of agriculture’s diverse stakeholders. This book brings together leading experts in data curation, data governance and data studies from a variety of fields, including data science, plant science, agricultural research, science policy, data ethics and the philosophy, history and social studies of plant science.
Linkages Between Eu Deforestation Free Regulation And Traceability Tools An Exploration From The Honduran Coffee Sector
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Author : Melo-Velasco, Jenny
language : en
Publisher: Intl Food Policy Res Inst
Release Date : 2025-03-26
Linkages Between Eu Deforestation Free Regulation And Traceability Tools An Exploration From The Honduran Coffee Sector written by Melo-Velasco, Jenny and has been published by Intl Food Policy Res Inst this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-26 with Political Science categories.
Under the new EU deforestation regulation (EUDR), dated 31/05/2023, coffee producers and other producers of other significant commodities —cocoa, oil palm, rubber, soya, cattle, and wood— will have to comply with three aspects to export their products into the European Un ion. These aspects are i) Deforestation-free; 2) Production under the relevant legislation of the country of production; and 3) Due diligence statement. (Council of the European Union, 2022). These conditions are designed to minimize the European Union's impact on global deforestation and forest degradation, and to reduce its contribution to greenhouse gas emissions. Understanding this regulation, set to be enforced by December 30th, 2024, is crucial for coffee farmers who may face challenges due to the regulation's definition of deforestation, which includes forest-to-agroforestry conversion (Naranjo et al., 2023). For the Honduran coffee sector, where coffee is the primary agricultural export crop, with over 120,000 coffee farms making a significant contribution to a third of the agricultural GDP (IHCAFE, 2021), comprehending this regulation is essential. In examining the aspects of the EUDR, we encounter a complex interplay of definitions, ac tors, and processes that necessitate in-depth exploration to grasp their nuances and specific challenges. A transversal aspect involves how all the new information requested by this regulation is going to be collected, cleaned, integrated, stored, analyzed, reported, audited and updated. This paper aims to illuminate these processes by focusing on the existing and potential linkages among three traceability tools currently under development in the Honduran coffee sector.
Agriculture 4 0
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Author : Sheetanshu Gupta
language : en
Publisher: CRC Press
Release Date : 2024-12-06
Agriculture 4 0 written by Sheetanshu Gupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-06 with Technology & Engineering categories.
With the convergence of the Internet of Things (IoT) and Artificial Intelligence (AI), the traditional methods of farming are undergoing transformation. By harnessing the power of data-driven insights and automation, farmers can now make informed decisions in real time, optimize resource utilization, and mitigate risks associated with crop management and livestock welfare. This book serves as a guide to the integration of IoT and AI in agriculture and discusses the methodologies, applications, and challenges in this rapidly evolving field. It details various aspects of smart farming—from crop monitoring and precision agriculture to livestock management and food supply chain transparency—and provides insight into the potential of IoT and AI to revolutionize agricultural practices and address the global challenges of food security, environmental sustainability, and economic development. Print edition not for sale in South Asia (India, Sri Lanka, Nepal, Bangladesh, Pakistan or Bhutan)
Computer Vision In Smart Agriculture And Crop Management
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Author : Rajesh Kumar Dhanaraj
language : en
Publisher: John Wiley & Sons
Release Date : 2024-12-24
Computer Vision In Smart Agriculture And Crop Management written by Rajesh Kumar Dhanaraj and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-24 with Technology & Engineering categories.
This book is essential for anyone interested in understanding how smart agriculture, utilizing information and technology such as computer vision and deep learning, can revolutionize agriculture productivity, resolve ongoing concerns, and enhance economic and general effectiveness in farming. The need for a reliable food supply has driven the development of smart agriculture, which leverages technology to assist farmers, especially in remote areas. A key component is computer vision (CV) technology, which, combined with deep learning, can manage agricultural productivity and enhance automation systems for improved efficiency and cost-effectiveness. Automation in agriculture ensures benefits like reduced costs, high performance, and accuracy. Aerial imaging and high-throughput research enable effective crop monitoring and management. Computer vision and AI models aid in detecting plant health, impurities, and pests, supporting sustainable farming. This book explores using CV and AI to develop smart agriculture through deep learning, data mining, and intelligent applications.
Ensuring Secure And Ethical Stm Research In The Ai Era
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Author : Zangana, Hewa Majeed
language : en
Publisher: IGI Global
Release Date : 2025-05-14
Ensuring Secure And Ethical Stm Research In The Ai Era written by Zangana, Hewa Majeed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-14 with Science categories.
As artificial intelligence (AI) is integrated into scientific, technical, and medical (STM) research, ensuring security and ethical standards becomes more critical. AI tools play a transformative role in data analysis and research methods, to peer reviews and publication, raising complex questions around data privacy, algorithmic bias, intellectual property, and research integrity. The rapid pace of innovation also introduces risks like the misuse of generative models, vulnerabilities in automated systems, and challenges in maintaining transparency and accountability. To navigate this landscape, a proactive approach is essential, combining governance frameworks, interdisciplinary collaboration, and ethical oversight. By prioritizing these elements, the scientific community can harness the full potential of AI while safeguarding integrity and societal trust in STM research. Ensuring Secure and Ethical STM Research in the AI Era explores the convergence of AI, ethics, and cybersecurity within the context of STM innovation. It examines addresses the secure and ethical deployment of AI in scientific research, development, and discovery. This book covers topics such as biomedicine, cloud technology, and data privacy, and is a useful resource for business owners, computer engineers, academicians, researchers, and scientists.
Revolutionizing Sugarcane Molecular Breeding And Biotechnological Approaches
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Author : Krishan K. Verma
language : en
Publisher: Springer Nature
Release Date : 2025-07-22
Revolutionizing Sugarcane Molecular Breeding And Biotechnological Approaches written by Krishan K. Verma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-22 with Science categories.
This book delves into the intricate world of sugarcane breeding, offering a comprehensive exploration of advanced technologies and methodologies revolutionizing the field. Readers will learn about the latest genomic tools and breeding strategies that are enhancing sugarcane's resilience, yield, and overall performance. Chapters cover topics such as genomics and transcriptomics, transgenic sugarcane for trait improvement, potential candidate promoters, new strategies for genetic transformation, molecular farming, and genome editing. Expert contributors from around the globe provide in-depth analyses and insights into the challenges and innovations in sugarcane breeding, with particular attention to predictive technologies, pathogen resistance, and climate resilience. This volume is an essential resource for plant scientists, biotechnologists, molecular biologists, and breeders dedicated to advancing sugarcane research. It provides updated information on cutting-edge applications in breeding technology and invites readers to explore critical questions about the future of sugarcane improvement. Whether you are a researcher in the field or an academic in related disciplines, this book offers valuable knowledge to enhance your work.
Predictive Analytics In Smart Agriculture
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Author : Saravanan Krishnan
language : en
Publisher: CRC Press
Release Date : 2023-12-18
Predictive Analytics In Smart Agriculture written by Saravanan Krishnan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-18 with Computers categories.
Predictive Analysis in Smart Agricultureexplores computational engineering techniques and applications in agriculture development. Recent technologies such as cloud computing, IoT, big data, and machine learning are focused on for smart agricultural engineering. The book also provides a case-oriented approach for IoT-based agricultural systems. This book deals with all aspects of smart agriculture with state-of-the-art predictive analysis in the complete 360-degree view spectrum. The book includes the concepts of urban and vertical farming using Agro IoT systems and renewable energy sources for modern agriculture trends. It discusses the real-world challenges, complexities in Agro IoT, and advantages of incorporating smart technology. It also presents the rapid advancement of the technologies in the existing Agri model by applying the various techniques. Novel architectural solutions in smart agricultural engineering are the core aspects of this book. Several predictive analysis tools and smart agriculture are also incorporated. This book can be used as a textbook for students in predictive analysis, agriculture engineering, precision farming, and smart agriculture. It can also be a reference book for practicing professionals in cloud computing, IoT, big data, machine learning, and deep learning working on smart agriculture applications.
Climate Smart Agriculture For Future Food Security
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Author : Sajid Faiz
language : en
Publisher: Springer Nature
Release Date : 2025-06-17
Climate Smart Agriculture For Future Food Security written by Sajid Faiz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-17 with Technology & Engineering categories.
This contributed volume covers recent advancements in the development of climate-resilient agriculturally important crops by focusing on climate change, crop cultivation, crop breeding, and the application of novel biotechnological approaches in line with attaining second Sustainable Development Goal of zero hunger. Climate-smart agriculture is a concept aimed at transforming and reorienting agricultural production systems to ensure food security in the ever-evolving situation of climate change. Widespread alterations in rainfall and temperature patterns have threatened agricultural production and elevated the vulnerability of human dependency on agriculture for food, feed, and fiber. Additionally, global food demand is estimated to increase to feed the estimated global population of 9.7 billion by the year 2050. Climate change, food, and nutritional insecurity pose the greatest challenges for the farming community, researchers, the private sector, civil society, and policymakers to develop more sustainable solutions ensuring food security, plant adaptability, and the mitigation of adverse effects on sustainable food production systems. This book will cover three pillars defined by the Food and Agriculture Organization of the United Nations for climate-smart agriculture: sustainable increase in agricultural production, adaptation, and plant resilience under climate change, and mitigation of environmental degradation through intensive agricultural practices. Furthermore, the book also highlights technological innovations taking place across different disciplines of agriculture to cater to both biotic and abiotic factors in agronomically important crops. This book serves as a useful resource documenting all recent developments made to achieve sustainable crop production. It is an interesting read for master’s and doctoral-level students, academics, scientists, and researchers in the field of agronomy and agricultural biotechnology.
Philosophy Of Open Science
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Author : Sabina Leonelli
language : en
Publisher: Cambridge University Press
Release Date : 2023-08-31
Philosophy Of Open Science written by Sabina Leonelli and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-31 with Science categories.
The Open Science [OS] movement aims to foster the wide dissemination, scrutiny and re-use of research components for the good of science and society. This Element examines the role played by OS principles and practices within contemporary research and how this relates to the epistemology of science. After reviewing some of the concerns that have prompted calls for more openness, it highlights how the interpretation of openness as the sharing of resources, so often encountered in OS initiatives and policies, may have the unwanted effect of constraining epistemic diversity and worsening epistemic injustice, resulting in unreliable and unethical scientific knowledge. By contrast, this Element proposes to frame openness as the effort to establish judicious connections among systems of practice, predicated on a process-oriented view of research as a tool for effective and responsible agency. This title is also available as Open Access on Cambridge Core.
Artificial Intelligence For Science A Deep Learning Revolution
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Author : Alok Choudhary
language : en
Publisher: World Scientific
Release Date : 2023-03-21
Artificial Intelligence For Science A Deep Learning Revolution written by Alok Choudhary and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-21 with Computers categories.
This unique collection introduces AI, Machine Learning (ML), and deep neural network technologies leading to scientific discovery from the datasets generated both by supercomputer simulation and by modern experimental facilities.Huge quantities of experimental data come from many sources — telescopes, satellites, gene sequencers, accelerators, and electron microscopes, including international facilities such as the Large Hadron Collider (LHC) at CERN in Geneva and the ITER Tokamak in France. These sources generate many petabytes moving to exabytes of data per year. Extracting scientific insights from these data is a major challenge for scientists, for whom the latest AI developments will be essential.The timely handbook benefits professionals, researchers, academics, and students in all fields of science and engineering as well as AI, ML, and neural networks. Further, the vision evident in this book inspires all those who influence or are influenced by scientific progress.