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Author : Romanelli CLAUS SORENSEN
Publisher : Burleigh Dodds Series in Agricultural Science
ISBN 13 : 9781801463829
Total Pages : 0 pages
Book Rating : 4.4/5 (638 download)
Download or read book Smart Farms written by Romanelli CLAUS SORENSEN and published by Burleigh Dodds Series in Agricultural Science. This book was released on 2024-03-26 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Syed Nisar Hussain Bukhari
Publisher : CRC Press
ISBN 13 : 1040037232
Total Pages : 301 pages
Book Rating : 4.0/5 (4 download)
Download or read book Data-Driven Farming written by Syed Nisar Hussain Bukhari and published by CRC Press. This book was released on 2024-06-13 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Sabyasachi Pramanik
Publisher : CRC Press
ISBN 13 : 1040120970
Total Pages : 501 pages
Book Rating : 4.0/5 (41 download)
Download or read book Data Driven Mathematical Modeling in Agriculture written by Sabyasachi Pramanik and published by CRC Press. This book was released on 2024-08-23 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research in this book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies. To identify the variables affecting farmers' choices to embrace more precise technology, zero-inflated Poisson and negative binomial count data regression models are utilized. Outcomes from the count data analysis of a random sample of various farm operators show that various aspects, including farm dimension, farmer demographics, soil texture, urban impacts, farmer position of liabilities, and position of the farm in a state, were significantly associated with the approval severity and likelihood of precision farming technologies. Technical topics discussed in the book include: Precision agriculture Machine learning Wireless sensor networks IoT Deep learning
Author : Kateryna Schroeder
Publisher : World Bank Publications
ISBN 13 : 1464816581
Total Pages : 185 pages
Book Rating : 4.4/5 (648 download)
Download or read book What's Cooking written by Kateryna Schroeder and published by World Bank Publications. This book was released on 2021-04-15 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: The digital agriculture revolution holds a promise to build an agriculture and food system that is efficient, environmentally sustainable, and equitable, one that can help deliver the Sustainable Development Goals. Unlike past technological revolutions in agriculture, which began on farms, the current revolution is being sparked at multiple points along the agrifood value chain. The change is driven by the ability to collect, use, and analyze massive amounts of machine-readable data about practically every aspect of the value chain, and by the emergence of digital platforms disrupting existing business models. All this allows for drastically reduced transaction costs and pervasive information asymmetries that plague the agrifood system. The success of the digital transformation, however, is not guaranteed as the risks it brings are numerous, including those related to data governance and inadequate competition within and between digital platforms. What’s Cooking: Digital Transformation of the Agrifood System investigates how digital technologies can accelerate the transformation of the agrifood system by increasing efficiency on the farm; improving farmers’ access to output, input, and financial markets; strengthening quality control and traceability; and improving the design and delivery of agriculture policies. It also identifies a key role for the public sector in maximizing the benefits of this process while minimizing its risks, through enabling an innovation ecosystem featuring open datasets, digital platforms, digital entrepreneurship, digital payment systems, and digital skills and encouraging equitable technology adoption.
Author : Food and Agriculture Organization of the United Nations
Publisher : Food & Agriculture Org.
ISBN 13 : 9251315469
Total Pages : 152 pages
Book Rating : 4.2/5 (513 download)
Download or read book Digital technologies in agriculture and rural areas written by Food and Agriculture Organization of the United Nations and published by Food & Agriculture Org.. This book was released on 2019-06-01 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report aims to identify the different scenarios where the process of digital transformation is taking place in agriculture. This identifies those aspects of basic conditions, such as those of infrastructure and networks, affordability, education and institutional support. In addition, enablers are identified, which are the factors that allow adopting and integrating changes in the production and decision-making processes. Finally identify through cases, existing literature and reports how substantive changes are taking place in the adoption of digital technologies in agriculture.
Download or read book The Tariff Question in the U.S. written by and published by . This book was released on 1865 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Caj Södergård
Publisher : Springer Nature
ISBN 13 : 3030710696
Total Pages : 416 pages
Book Rating : 4.0/5 (37 download)
Download or read book Big Data in Bioeconomy written by Caj Södergård and published by Springer Nature. This book was released on 2021-08-13 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited open access book presents the comprehensive outcome of The European DataBio Project, which examined new data-driven methods to shape a bioeconomy. These methods are used to develop new and sustainable ways to use forest, farm and fishery resources. As a European initiative, the goal is to use these new findings to support decision-makers and producers – meaning farmers, land and forest owners and fishermen. With their 27 pilot projects from 17 countries, the authors examine important sectors and highlight examples where modern data-driven methods were used to increase sustainability. How can farmers, foresters or fishermen use these insights in their daily lives? The authors answer this and other questions for our readers. The first four parts of this book give an overview of the big data technologies relevant for optimal raw material gathering. The next three parts put these technologies into perspective, by showing useable applications from farming, forestry and fishery. The final part of this book gives a summary and a view on the future. With its broad outlook and variety of topics, this book is an enrichment for students and scientists in bioeconomy, biodiversity and renewable resources.
Author : S. Gowrishankar, Hamidah Ibrahim, A. Veena, K.P. Asha Rani, A.H. Srinivasa
Publisher : Bentham Science Publishers
ISBN 13 : 9815196189
Total Pages : 229 pages
Book Rating : 4.8/5 (151 download)
Download or read book Data Science for Agricultural Innovation and Productivity written by S. Gowrishankar, Hamidah Ibrahim, A. Veena, K.P. Asha Rani, A.H. Srinivasa and published by Bentham Science Publishers. This book was released on 2024-02-12 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science for Agricultural Innovation and Productivity explores the transformation of agriculture through data-driven practices. This comprehensive book delves into the intersection of data science and farming, offering insights into the potential of big data analytics, machine learning, and IoT integration. Readers will find a wide range of topics covered in 10 chapters, including smart farming, AI applications, hydroponics, and robotics. Expert contributors, including researchers, practitioners, and academics in the fields of data science and agriculture, share their knowledge to provide readers with up-to-date insights and practical applications. The interdisciplinary emphasis of the book gives a well-rounded view of the subject. With real-world examples and case studies, this book demonstrates how data science is being successfully applied in agriculture, inspiring readers to explore new possibilities and contribute to the ongoing transformation of the agricultural sector. Sustainability and future outlook are the key themes, as the book explores how data science can promote environmentally conscious agricultural practices while addressing global food security concerns. Key Features: - Focus on data-driven agricultural practices - Comprehensive coverage of modern farming topics with an interdisciplinary perspective - Expert insights - Sustainability and future outlook -Highlights practical applications Data Science for Agricultural Innovation and Productivity is an essential resource for researchers, data scientists, farmers, agricultural technologists, students, educators, and anyone with an interest in the future of farming through data-driven agriculture.
Author : Dionysis D. Bochtis
Publisher : Springer Nature
ISBN 13 : 3030841480
Total Pages : 296 pages
Book Rating : 4.0/5 (38 download)
Download or read book Information and Communication Technologies for Agriculture—Theme II: Data written by Dionysis D. Bochtis and published by Springer Nature. This book was released on 2022-03-17 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the second (II) of four under the main themes of Digitizing Agriculture and Information and Communication Technologies (ICT). The four volumes cover rapidly developing processes including Sensors (I), Data (II), Decision (III), and Actions (IV). Volumes are related to ‘digital transformation” within agricultural production and provision systems, and in the context of Smart Farming Technology and Knowledge-based Agriculture. Content spans broadly from data mining and visualization to big data analytics and decision making, alongside with the sustainability aspects stemming from the digital transformation of farming. The four volumes comprise the outcome of the 12th EFITA Congress, also incorporating chapters that originated from select presentations of the Congress. The first part of this book (II) focuses on data technologies in relation to agriculture and presents three key points in data management, namely, data collection, data fusion, and their uses in machine learning and artificial intelligent technologies. Part 2 is devoted to the integration of these technologies in agricultural production processes by presenting specific applications in the domain. Part 3 examines the added value of data management within agricultural products value chain. The book provides an exceptional reference for those researching and working in or adjacent to agricultural production, including engineers in machine learning and AI, operations management, decision analysis, information analysis, to name just a few. Specific advances covered in the volume: Big data management from heterogenous sources Data mining within large data sets Data fusion and visualization IoT based management systems Data Knowledge Management for converting data into valuable information Metadata and data standards for expanding knowledge through different data platforms AI - based image processing for agricultural systems Data - based agricultural business Machine learning application in agricultural products value chain
Author : Victor Grimblatt
Publisher :
ISBN 13 : 9788770225977
Total Pages : 250 pages
Book Rating : 4.2/5 (259 download)
Download or read book Technology and Agribusiness written by Victor Grimblatt and published by . This book was released on 2021-06-30 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the major problems that agribusiness is facing and the different technologies that can be applied to solve and improve such issues. Agribusiness covers different topics such as arable farming, dairy farming, fruits, vegetables, meat, etc. Each of these domains has different needs that can be addressed through smart agriculture technologies such as circuits and systems.
Author : Addison, C.
Publisher : CTA
ISBN 13 :
Total Pages : 76 pages
Book Rating : 4./5 ( download)
Download or read book Farmer profiling: Making data work for smallholder farmers written by Addison, C. and published by CTA. This book was released on 2017-11-28 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study presented in this report was commissioned by the Technical Centre for Agricultural and Rural Cooperation (CTA) as a member of the Global Open Data for Agriculture & Nutrition (GODAN) initiative, and was conducted by SB Consulting (SBC4D). The objective of the research is to understand the role of farmer organisations (FO) and cooperatives in the agriculture data ecosystem. These organisations have long been recognised to play an important role in society that translates into the improvement of living conditions of their members, particularly the low-income earning population. More than 40% of households in Africa are member of a cooperative society ([ILO-2000]) and the cooperative movement is Africa’s biggest nongovernmental organisation. The key question this report explores is the role of these organisations in the emergent “data revolution.” How can they ensure that this data revolution benefits their members and the smallholder farmers in general, and at the same time contribute to the revolution by providing valuable information to policy makers or other stakeholders of the ecosystem?
Author : Kelly Bronson
Publisher : McGill-Queen's Press - MQUP
ISBN 13 : 0228012546
Total Pages : 123 pages
Book Rating : 4.2/5 (28 download)
Download or read book The Immaculate Conception of Data written by Kelly Bronson and published by McGill-Queen's Press - MQUP. This book was released on 2022-08-15 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every new tractor now contains built-in sensors that collect data and stream it to cloud-based infrastructure. Seed and chemical companies are using these data, and these agribusinesses are a form of big tech alongside firms like Google and Facebook. The Immaculate Conception of Data peeks behind the secretive legal agreements surrounding agricultural big data to trace how it is used and with what consequences. Agribusinesses are among the oldest oligopoly corporations in the world, and their concentration gives them an advantage over other food system actors. Kelly Bronson explores what happens when big data get caught up in pre-existing arrangements of power. Her richly ethnographic account details the work of corporate scientists, farmers using the data, and activist “hackers” building open-source data platforms. Actors working in private and public contexts have divergent views on whom new technology is for, how it should be developed, and what kinds of agriculture it should support. Surprisingly, despite their differences, these groups share a way of speaking about data and its value for the future. Bronson calls this the immaculate conception of data, arguing that this phenomenon is a dangerous framework for imagining big data and what it might do for society. Drawing our attention to agriculture as an important new site for big tech criticism, The Immaculate Conception of Data uniquely bridges science and technology studies, critical data studies, and food studies, bringing to light salient issues related to data justice and a sustainable food system.
Author : Govind Singh Patel
Publisher : CRC Press
ISBN 13 : 1000327892
Total Pages : 268 pages
Book Rating : 4.0/5 (3 download)
Download or read book Smart Agriculture written by Govind Singh Patel and published by CRC Press. This book was released on 2021-02-11 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book endeavours to highlight the untapped potential of Smart Agriculture for the innovation and expansion of the agriculture sector. The sector shall make incremental progress as it learns from associations between data over time through Artificial Intelligence, deep learning and Internet of Things applications. The farming industry and Smart agriculture develop from the stringent limits imposed by a farm's location, which in turn has a series of related effects with respect to supply chain management, food availability, biodiversity, farmers' decision-making and insurance, and environmental concerns among others. All of the above-mentioned aspects will derive substantial benefits from the implementation of a data-driven approach under the condition that the systems, tools and techniques to be used have been designed to handle the volume and variety of the data to be gathered. Contributions to this book have been solicited with the goal of uncovering the possibilities of engaging agriculture with equipped and effective profound learning algorithms. Most agricultural research centres are already adopting Internet of Things for the monitoring of a wide range of farm services, and there are significant opportunities for agriculture administration through the effective implementation of Machine Learning, Deep Learning, Big Data and IoT structures.
Author : James Hammond
Publisher : Frontiers Media SA
ISBN 13 : 2832515894
Total Pages : 255 pages
Book Rating : 4.8/5 (325 download)
Download or read book Agile Data-Oriented Research Tools to Support Smallholder Farm System Transformation written by James Hammond and published by Frontiers Media SA. This book was released on 2023-05-09 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smallholder farming systems contribute a substantial quantity of the food consumed in many lower and middle-income countries and contribute to the national and local economies. Despite the importance of smallholder farming, a transformation is needed in order to deliver food security and decent incomes for the farmers themselves and at the national level. This transformation must also be sustainable in terms of environmental impacts and social equity in order to be successful in the long term. The pressures of population growth, climate change, and land fragmentation compound the problem. Addressing these overlapping issues is a big challenge. One obstacle is the lack of good quality granular data linking these issues together. Household surveys are the workhorse method for gathering such data, but there are well-known problems that prevent household survey data from building up a “big picture” and delivering insights beyond the geographical boundary of each individual study. Such obstacles include the lack of access to datasets, differences in survey design, and respondent biases. Agile, data-oriented research tools can help to overcome these challenges. We use the term “agile” to imply methods that do not attempt exhaustive measurements, which are designed to be easy to use, and which entail some degree of flexibility in terms of adaptation to local conditions and integration with other tools or methods. Often these methods also nudge the behavior of tool users towards best practices. In recent years various research tools and approaches have been published which fit within our definition of “agile data-oriented research tools”. The domains these tools function in include monitoring and evaluation, intervention targeting, tailored information delivery, citizen science, credit scoring, and user feedback collection; all with the over-arching aim to improve data quality and access for those studying the sustainable development of smallholder farming systems. The goal of this Research Topic is to better define that niche, the ecosystem of tools and current practices, and to explore how such approaches can provide the underpinning knowledge required for the transformation of smallholder farming systems. One example of an agile data-oriented research tool is the Rural Household Multi-Indicator Survey (RHoMIS). It is a modular, digital system for building household surveys addressing the common topics in smallholder development. It was purposefully designed to give a broad overview of the farm system whist keeping survey duration to a minimum, to be user-friendly in implementation, and to be sufficiently flexible to function in a broad variety of locations and projects. Since 2015 it has been used by 30 organizations in 32 countries to interview over 34,000 households. The tool and database are open access and a community of practice is developing around the tool. We particularly welcome contributions that engage with the RHoMIS tool and data. However, we also describe the tool in order to provide an example of what is meant by an agile data-oriented research tool, and welcome contributions focusing on other tools or methodologies. We encourage the submission of manuscripts addressing the above topic, and those which fit within one of the following three sub-themes: (i) Perspectives or review articles which explore the niche, best practices, or promising approaches in agile data-oriented research tools for smallholder farm system transformation. Also, technology and code articles that describe new tools are welcomed. (ii) Original research articles presenting analyses based on data derived from agile data-oriented tools used at the project level. Examples include impact evaluations, adoption studies, targeting studies, or adaptive management, and should reflect on the additional benefit leveraged by the agile method applied. (iii) Original research articles that make use of the large amounts of data generated by such agile methods and/or link between agile data and other data sources. Examples include meta-analyses of data from multiple studies, layering data collected from different agile tools, or linking agile data to remote sensing or large-scale modeling outputs.
Author : Gupta, Amit Kumar
Publisher : IGI Global
ISBN 13 : 1799850048
Total Pages : 280 pages
Book Rating : 4.7/5 (998 download)
Download or read book Smart Agricultural Services Using Deep Learning, Big Data, and IoT written by Gupta, Amit Kumar and published by IGI Global. This book was released on 2020-10-30 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: The agricultural sector can benefit immensely from developments in the field of smart farming. However, this research area focuses on providing specific fixes to particular situations and falls short on implementing data-driven frameworks that provide large-scale benefits to the industry as a whole. Using deep learning can bring immense data and improve our understanding of various earth sciences and improve farm services to yield better crop production and profit. Smart Agricultural Services Using Deep Learning, Big Data, and IoT is an essential publication that focuses on the application of deep learning to agriculture. While highlighting a broad range of topics including crop models, cybersecurity, and sustainable agriculture, this book is ideally designed for engineers, programmers, software developers, agriculturalists, farmers, policymakers, researchers, academicians, and students.
Author : DIZZY DAVIDSON
Publisher : Pure Water Books
ISBN 13 :
Total Pages : 119 pages
Book Rating : 4./5 ( download)
Download or read book AI in Agriculture: Harnessing Smart Farm Fields for the Future written by DIZZY DAVIDSON and published by Pure Water Books. This book was released on 2024-07-31 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: Struggling to fully grasp the potential of AI in agriculture? Wondering how AI can revolutionize farming practices and boost productivity? Look no further! “AI in Agriculture: Harnessing Smart Farm Fields For the Future” is your ultimate guide to understanding and leveraging AI in the agricultural sector. This book demystifies complex AI concepts and demonstrates their practical applications in farming. Benefits of Reading This Book: Unlock the Power of AI: Learn how AI can transform crop and soil monitoring, pest and disease detection, and precision farming. Enhance Livestock Management: Discover AI systems that monitor livestock health and behavior, ensuring early illness detection and improved animal welfare. Optimize Farm Operations: Understand the role of AI in intelligent spraying, autonomous equipment, and yield prediction to increase efficiency and reduce costs. Stay Ahead with Weather Forecasting: Utilize AI-driven weather prediction tools to plan and mitigate adverse weather impacts. Ensure Quality Control: Explore AI systems for produce grading and sorting, ensuring consistency and reducing waste. This book is a comprehensive resource for anyone looking to delve into the world of AI in agriculture. It provides detailed insights, real-world examples, and practical tips to help you apply AI concepts effectively. Why This Book is Essential: In-Depth Coverage: Covers all key aspects of AI applications in agriculture, from crop monitoring to aerial imaging. Practical Insights: Offers actionable advice and case studies to illustrate successful AI implementations. Future-Oriented: Explores emerging trends and technologies, preparing you for the future of smart farming. Bullet Points AI-Powered Drones: Monitor crop health and soil conditions in real-time. Early Pest Detection: Use AI algorithms to detect pests and diseases early. Precision Farming: Optimize planting, watering, and fertilizing schedules. Livestock Monitoring: Ensure animal welfare with AI health monitoring systems. Autonomous Equipment: Increase efficiency with AI-driven tractors and harvesters. Yield Prediction: Make informed decisions with AI models predicting crop yields. Weather Forecasting: Plan activities with accurate AI-driven weather forecasts. Produce Grading: Ensure quality and reduce waste with AI grading systems. Aerial Imaging: Assess farm conditions with AI-powered drone surveys. Call to Action: Get your copy of “AI in Agriculture: Harnessing Smart Farm Fields For the Future” today and unlock the full potential of AI in your farming practices. Become knowledgeable about AI and transform your agricultural operations for a sustainable and productive future.
Author : Ajith Abraham
Publisher : Academic Press
ISBN 13 : 0128236957
Total Pages : 578 pages
Book Rating : 4.1/5 (282 download)
Download or read book AI, Edge and IoT-based Smart Agriculture written by Ajith Abraham and published by Academic Press. This book was released on 2021-11-10 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI, Edge, and IoT Smart Agriculture integrates applications of IoT, edge computing, and data analytics for sustainable agricultural development and introduces Edge of Thing-based data analytics and IoT for predictability of crop, soil, and plant disease occurrence for improved sustainability and increased profitability. The book also addresses precision irrigation, precision horticulture, greenhouse IoT, livestock monitoring, IoT ecosystem for agriculture, mobile robot for precision agriculture, energy monitoring, storage management, and smart farming. The book provides an overarching focus on sustainable environment and sustainable economic development through smart and e-agriculture. Providing a medium for the exchange of expertise and inspiration, contributions from both smart agriculture and data mining researchers around the world provide foundational insights. The book provides practical application opportunities for the resolution of real-world problems, including contributions from the data mining, data analytics, Edge of Things, and cloud research communities working in the farming production sector. The book offers broad coverage of the concepts, themes, and instruments of this important and evolving area of IOT-based agriculture, Edge of Things and cloud-based farming, Greenhouse IOT, mobile agriculture, sustainable agriculture, and big data analytics in agriculture toward smart farming. Integrates sustainable agriculture, Greenhouse IOT, precision agriculture, crops monitoring, crops controlling to prediction, livestock monitoring, and farm management Presents data mining techniques for precision agriculture, including weather prediction, plant disease prediction, and decision support for crop and soil selection Promotes the importance and uses in managing the agro ecosystem for food security Emphasizes low energy usage options for low cost and environmental sustainability
