Products related to Data:
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Sustainability Challenges of Brazilian Agriculture : Governance, Inclusion, and Innovation
With contributions from a wide range of thematic areas, this book provides a diverse perspective on the contemporary environmental challenges of Brazilian agriculture.Assessing existing experiences of governance interventions, implementation of inclusive and sustainable production practices, as well as technical innovations, this edited volume presents the reader with a nuanced perspective on sustainable future pathways for Brazilian agriculture.In many cases, actors within the agricultural sector stand in a key position to address environmental concerns, which often has generated important breakthroughs and improvement of production practices.Drawing on contributions from authors within a variety of fields, this contribution presents a trans-disciplinary perspective on the problems and pathways through which multi-level interventions can lead to sustainable solutions within the Brazilian agricultural and livestock sector.This book hereby constitutes an informed and timely contribution to the important debates about Brazil’s potential role in confronting environmental problems.More broadly, this volume also sheds light on the process of agricultural transitions in the Global South, and how food security concerns may be reconciled with sustainable production.
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Advanced Microbial Technology for Sustainable Agriculture and Environment
Advanced Microbial Technology for Sustainable Agriculture and Environment focuses on plant-microbe interactions in respect to bioremediation and plant growth promotion, providing insights on diverse approaches such as genomics, metagenomics, proteomics, bioinformatics and other high-throughput analyses of environmentally relevant microorganisms.The impact of frequent applications of potentially toxic chemicals (pesticides and fertilizers) and increased industrialization processes on microbial diversity emphasizes the potential threat to microbial biodiversity in ecosystems.This is an ideal resource on current trends and the future of PGPR developments with bioremediation potential. Moreover, it gives a deep understanding of the genetics of microbial biodegradation and different remediation mechanisms that help to re-establish the natural environment.
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Fashion and Environmental Sustainability : Entrepreneurship, Innovation and Technology
The wide range of topics that the book covers are organised into sections reflecting a cradle to grave view of how entrepreneurial, innovative, and tech-savvy approaches can advance environmental sustainability in the fashion sector.These sections include: sustainable materials; innovation in design, range planning and product development; sustainable innovations in fashion supply chains; sustainable innovations in fashion retail and marketing; sustainable alternatives for end-of-life and circular economy initiatives; and more sustainable alternative fashion business models.
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Data-Driven Farming : Harnessing the Power of AI and Machine Learning in Agriculture
In the dynamic realm of agriculture, artificial intelligence (AI) and machine learning (ML) emerge as catalysts for unprecedented transformation and growth.The emergence of big data, Internet of Things (IoT) sensors, and advanced analytics has opened up new possibilities for farmers to collect and analyze data in real-time, make informed decisions, and increase efficiency.AI and ML are key enablers of data-driven farming, allowing farmers to use algorithms and predictive models to gain insights into crop health, soil quality, weather patterns, and more.Agriculture is an industry that is deeply rooted in tradition, but the landscape is rapidly changing with the emergence of new technologies. Data-Driven Farming: Harnessing the Power of AI and Machine Learning in Agriculture is a comprehensive guide that explores how the latest advances in technology can help farmers make better decisions and maximize yields.It offers a detailed overview of the intersection of data, AI, and ML in agriculture and offers real-world examples and case studies that demonstrate how these tools can help farmers improve efficiency, reduce waste, and increase profitability.Exploring how AI and ML can be used to achieve sustainable and profitable farming practices, the book provides an introduction to the basics of data-driven farming, including an overview of the key concepts, tools, and technologies.It also discusses the challenges and opportunities facing farmers in today’s data-driven landscape.Covering such topics as crop monitoring, weather forecasting, pest management, and soil health management, the book focuses on analyzing data, predicting outcomes, and optimizing decision-making in a range of agricultural contexts.
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How can sustainability be achieved in livestock farming?
Sustainability in livestock farming can be achieved through various practices such as rotational grazing to maintain soil health and prevent overgrazing, implementing efficient feed management to reduce waste and improve animal nutrition, and utilizing renewable energy sources to power farm operations. Additionally, reducing the use of antibiotics and hormones, implementing water conservation measures, and promoting animal welfare are also important aspects of sustainable livestock farming. Furthermore, integrating agroforestry and diversifying farm products can contribute to a more sustainable and resilient farming system. Overall, a holistic approach that considers environmental, social, and economic factors is essential for achieving sustainability in livestock farming.
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How can agriculture be converted to organic farming?
Converting agriculture to organic farming involves several key steps. First, farmers need to stop using synthetic pesticides, herbicides, and fertilizers and instead use natural alternatives such as compost, manure, and cover crops. They also need to implement crop rotation and diversify their crops to improve soil health and reduce the risk of pests and diseases. Additionally, they should avoid using genetically modified organisms (GMOs) and focus on preserving biodiversity on their farms. Finally, farmers can seek organic certification from a recognized organization to ensure that their products meet the standards of organic farming.
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How can one open a farming operation with agriculture?
To open a farming operation with agriculture, one should start by conducting thorough research on the type of crops or livestock they want to produce, as well as the market demand for those products. Next, they should secure a suitable piece of land with access to water and other necessary resources. Then, they should develop a detailed business plan that outlines the operational and financial aspects of the farming operation. Additionally, it's important to comply with all local regulations and obtain any necessary permits or licenses before starting the operation. Finally, one should consider seeking advice and guidance from experienced farmers or agricultural experts to ensure a successful start to the farming operation.
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What are the characteristics of Swedish livestock farming and agriculture?
Swedish livestock farming and agriculture are known for their high standards of animal welfare and environmental sustainability. Livestock are often raised in free-range or pasture-based systems, with a focus on natural feeding and minimal use of antibiotics. Agriculture in Sweden also emphasizes sustainable practices, such as crop rotation, integrated pest management, and organic farming. The country's cold climate and short growing season have led to the development of hardy and resilient livestock breeds and crop varieties. Overall, Swedish livestock farming and agriculture prioritize ethical treatment of animals, environmental conservation, and high-quality, locally produced food.
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Farming for Us All : Practical Agriculture and the Cultivation of Sustainability
Climate change. Habitat loss. Soil erosion. Groundwater depletion. Toxins in our food. Inhumane treatment of farm animals. Increasing farm worker exploitation. Hunger and malnutrition in the midst of plenty. What will it take for farmers in the United States to embrace sustainable practices?Michael Mayerfeld Bell’s Farming for Us All first tackled this question twenty years ago, providing crucial insight into how the structure of US agriculture created this situation and exploring, by contrast, the practices of farmers who are working together to radically change how they think, learn, and grow.This updated edition of his now-classic work reflects on the lessons learned over the past two decades. Constrained by an oppressive nexus of markets, regulations, subsidies, and technology, farmers find themselves undermining their own economic and social security as well as the security of the land.Bell turns to Practical Farmers of Iowa (PFI), that state’s largest sustainable-agriculture group.He traces how PFI creates an agriculture that engages others—farmers, researchers, officials, and consumers—in a common conversation about what agriculture could look like.Through dialogue, PFI members crossbreed knowledge, discovering pragmatic solutions to help crops grow in ways that sustain families, communities, societies, economies, and environments. Farming for Us All makes the case that for sustainable farming to flourish, new social relations are as important to cultivate as new crops.This book is necessary—and hopeful—reading for anyone concerned about the present and future of food and farming.
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Data Science Applied to Sustainability Analysis
Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis.As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions.In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas.
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The Enterprise Data Catalog : Improve Data Discovery, Ensure Data Governance, and Enable Innovation
Combing the web is simple, but how do you search for data at work?It's difficult and time-consuming, and can sometimes seem impossible.This book introduces a practical solution: the data catalog.Data analysts, data scientists, and data engineers will learn how to create true data discovery in their organizations, making the catalog a key enabler for data-driven innovation and data governance. Author Ole Olesen-Bagneux explains the benefits of implementing a data catalog.You'll learn how to organize data for your catalog, search for what you need, and manage data within the catalog.Written from a data management perspective and from a library and information science perspective, this book helps you:Learn what a data catalog is and how it can help your organizationOrganize data and its sources into domains and describe them with metadataSearch data using very simple-to-complex search techniques and learn to browse in domains, data lineage, and graphsManage the data in your company via a data catalogImplement a data catalog in a way that exactly matches the strategic priorities of your organizationUnderstand what the future has in store for data catalogs
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Navigating Sustainability Data : How Organizations can use ESG Data to Secure Their Future
With sustainability now a fundamental strategic pillar for organizations, ESG metrics are vital for decision making, yet this data is complex and ever evolving. Navigating Sustainability Data provides a focused guide for leaders and executives who want to understand how sustainability impacts a company's future and how they can use data as a key tool to facilitate growth, access to capital and meet regulatory requirements.It explores what data is required to make decisions that directly affect the company's valuation and helps leadership teams decide what data points they need to be preparing for their boards to support the organization's financial, strategic and reputational future. Showing how leaders can move from measuring data to managing future organizational risks and rewards, the book explores how to use the right data for the appropriate situation to drive efficient sustainable business decisions.It explains ESG data in plain English and highlights what data is relevant to leaders; what investors consider as essential data; and how regulation, disclosure and transparency are on a rapidly changing journey.Navigating Sustainability Data holds the information you need to avoid greenwashing, to shape your role in the sustainability landscape, and to be a leader for the future.
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Why is factory farming bad for the environment?
Factory farming is harmful to the environment for several reasons. It contributes to deforestation as land is cleared for livestock farming, leading to loss of biodiversity. The large amounts of waste produced by factory farms can pollute waterways and soil, causing harm to ecosystems. Additionally, the intensive use of resources such as water and energy in factory farming contributes to climate change and further strains the environment.
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Do active mobile data consume data volume?
Yes, active mobile data does consume data volume. When your mobile data is turned on and you are using apps, browsing the internet, streaming videos, or downloading files, data is being consumed from your data plan. It is important to monitor your data usage to avoid exceeding your data limit and potentially incurring extra charges from your mobile service provider.
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Do activated mobile data consume data volume?
Yes, activated mobile data does consume data volume. When mobile data is turned on, it allows your device to connect to the internet using your cellular network, and any data used during this connection will be deducted from your data plan. Activities such as browsing the web, streaming videos, or using apps that require an internet connection will all consume data volume when mobile data is activated. It's important to monitor your data usage to avoid exceeding your plan's limits and incurring additional charges.
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What are master data and transactional data?
Master data refers to the core data entities of an organization, such as customer, product, employee, and supplier information. This data is typically static and does not change frequently. Master data is used as a reference point for transactional data. On the other hand, transactional data refers to the detailed records of day-to-day business activities, such as sales orders, purchase orders, invoices, and payments. This data is dynamic and changes frequently as business transactions occur. Transactional data is used to track and record the specific activities and events within an organization.
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