Data Science For Agricultural Innovation And Productivity

Author : Hamidah Ibrahim,A Veena,K P Asha Rani
Publisher : Bentham Science Publishers
Page : 0 pages
File Size : 45,9 Mb
Release : 2024-02-13
Category : Technology & Engineering
ISBN : 9815196197

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Data Science for Agricultural Innovation and Productivity by Hamidah Ibrahim,A Veena,K P Asha Rani Pdf

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:

Author : S. Gowrishankar, Hamidah Ibrahim, A. Veena, K.P. Asha Rani, A.H. Srinivasa
Publisher : Bentham Science Publishers
Page : 229 pages
File Size : 54,5 Mb
Release : 2024-02-12
Category : Technology & Engineering
ISBN : 9789815196184

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Data Science for Agricultural Innovation and Productivity by S. Gowrishankar, Hamidah Ibrahim, A. Veena, K.P. Asha Rani, A.H. Srinivasa Pdf

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 : National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Board on Environmental Change and Society,Health and Medicine Division,Food and Nutrition Board,Division on Earth and Life Studies,Water Science and Technology Board,Board on Life Sciences,Board on Atmospheric Sciences and Climate,Board on Agriculture and Natural Resources,Committee on Science Breakthroughs 2030: A Strategy for Food and Agricultural Research
Publisher : National Academies Press
Page : 243 pages
File Size : 55,8 Mb
Release : 2019-04-21
Category : Science
ISBN : 9780309473927

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Science Breakthroughs to Advance Food and Agricultural Research by 2030 by National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Board on Environmental Change and Society,Health and Medicine Division,Food and Nutrition Board,Division on Earth and Life Studies,Water Science and Technology Board,Board on Life Sciences,Board on Atmospheric Sciences and Climate,Board on Agriculture and Natural Resources,Committee on Science Breakthroughs 2030: A Strategy for Food and Agricultural Research Pdf

For nearly a century, scientific advances have fueled progress in U.S. agriculture to enable American producers to deliver safe and abundant food domestically and provide a trade surplus in bulk and high-value agricultural commodities and foods. Today, the U.S. food and agricultural enterprise faces formidable challenges that will test its long-term sustainability, competitiveness, and resilience. On its current path, future productivity in the U.S. agricultural system is likely to come with trade-offs. The success of agriculture is tied to natural systems, and these systems are showing signs of stress, even more so with the change in climate. More than a third of the food produced is unconsumed, an unacceptable loss of food and nutrients at a time of heightened global food demand. Increased food animal production to meet greater demand will generate more greenhouse gas emissions and excess animal waste. The U.S. food supply is generally secure, but is not immune to the costly and deadly shocks of continuing outbreaks of food-borne illness or to the constant threat of pests and pathogens to crops, livestock, and poultry. U.S. farmers and producers are at the front lines and will need more tools to manage the pressures they face. Science Breakthroughs to Advance Food and Agricultural Research by 2030 identifies innovative, emerging scientific advances for making the U.S. food and agricultural system more efficient, resilient, and sustainable. This report explores the availability of relatively new scientific developments across all disciplines that could accelerate progress toward these goals. It identifies the most promising scientific breakthroughs that could have the greatest positive impact on food and agriculture, and that are possible to achieve in the next decade (by 2030).

Author : Chandrasekar Vuppalapati
Publisher : CRC Press
Page : 548 pages
File Size : 49,8 Mb
Release : 2023-07-17
Category : Technology & Engineering
ISBN : 9781000919158

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Artificial Intelligence and Advanced Analytics for Food Security by Chandrasekar Vuppalapati Pdf

Climate change, increasing population, food-versus-fuel economics, pandemics, etc. pose a threat to food security to unprecedented levels. It has fallen upon the practitioners of agriculture and technologists of the world to innovate and become more productive to address the multi-pronged food security challenges. Agricultural innovation is key to managing food security concerns. The infusion of data science, artificial intelligence (AI), advanced analytics, satellites data, geospatial data, climatology, sensor technologies, and climate modeling with traditional agricultural practices such as soil engineering, fertilizers use, and agronomy are some of the best ways to achieve this. Data science helps farmers to unravel patterns in fertilizer pricing, equipment usage, transportation and storage costs, yield per hectare, and weather trends to better plan and spend resources. AI enables farmers to learn from fellow farmers to apply best techniques that are transferred learning from AI to improve agricultural productivity and to achieve financial sustainability. Sensor technologies play an important role in getting real-time farm field data and provide feedback loops to improve overall agricultural practices and can yield huge productivity gains. Advanced Analytics modeling is essential software technique that codifies farmers’ tacit knowledge such as better seed per soil, better feed for dairy cattle breed, or production practices to match weather pattern that was acquired over years of their hard work to share with worldwide farmers to improve overall production efficiencies, the best antidote to food security issue. In addition to the paradigm shift, economic sustainability of small farms is a major enabler of food security. The book reviews all these technological advances and proposes macroeconomic pricing models that data mines macroeconomic signals and the influence of global economic trends on small farm sustainability to provide actionable insights to farmers to avert any financial disasters due to recurrent economic crises.

Author : Petra Moser
Publisher : University of Chicago Press
Page : 270 pages
File Size : 41,8 Mb
Release : 2021-10-08
Category : Business & Economics
ISBN : 9780226779058

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Economics of Research and Innovation in Agriculture by Petra Moser Pdf

"The challenges facing agriculture are plenty. Along with the world's growing population and diminishing amounts of water and arable land, the gradual increase in severe weather presents new challenges and imperatives for producing new, more resilient crops to feed a more crowded planet in the twenty-first century. Innovation has historically helped agriculture keep pace with earth's social, population, and ecological changes. In the last 50 years, mechanical, biological, and chemical innovations have more than doubled agricultural output while barely changing input quantities. The ample investment behind these innovations was available because of a high rate of return: a 2007 paper found that the median ROI in agriculture was 45 percent between 1965 and 2005. This landscape has changed. Today many of the world's wealthier countries have scaled back their share of GDP devoted to agricultural R&D amid evidence of diminishing returns. Universities, which have historically been a major source of agricultural innovation, increasingly depend on funding from industry rather than government to fund their research. As Upton Sinclair wrote of the effects industry influences, "It is difficult to get a man to understand something when his salary depends upon his not understanding it." In this volume of the NBER Conference Report series, editor Petra Moser offers an empirical, applied-economic framework to the different elements of agricultural R&D, particularly as they relate to the shift from public to private funding. Individual chapters examine the sources of agricultural knowledge and investigate challenges for measuring the returns to the adoption of new agricultural technologies, examine knowledge spillovers from universities to agricultural innovation, and explore interactions between university engagement and scientific productivity. Additional analysis of agricultural venture capital point to it as an emerging and future source of resource in this essential domain"--

Author : Ali Emrouznejad,Vincent Charles
Publisher : Springer
Page : 204 pages
File Size : 53,9 Mb
Release : 2018-07-13
Category : Technology & Engineering
ISBN : 9783319930619

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Big Data for the Greater Good by Ali Emrouznejad,Vincent Charles Pdf

This book highlights some of the most fascinating current uses, thought-provoking changes, and biggest challenges that Big Data means for our society. The explosive growth of data and advances in Big Data analytics have created a new frontier for innovation, competition, productivity, and well-being in almost every sector of our society, as well as a source of immense economic and societal value. From the derivation of customer feedback-based insights to fraud detection and preserving privacy; better medical treatments; agriculture and food management; and establishing low-voltage networks – many innovations for the greater good can stem from Big Data. Given the insights it provides, this book will be of interest to both researchers in the field of Big Data, and practitioners from various fields who intend to apply Big Data technologies to improve their strategic and operational decision-making processes.

Author : Sanjay Chaudhary,Chandrashekhar M. Biradar,Srikrishnan Divakaran,Mehul S. Raval
Publisher : Springer Nature
Page : 280 pages
File Size : 45,5 Mb
Release : 2023-05-19
Category : Technology & Engineering
ISBN : 9789819905775

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Digital Ecosystem for Innovation in Agriculture by Sanjay Chaudhary,Chandrashekhar M. Biradar,Srikrishnan Divakaran,Mehul S. Raval Pdf

This book presents the latest findings in the areas of digital ecosystem for innovation in agriculture. The book is organized into two sections with thirteen chapters dealing with specialized areas. It provides the reader with an overview of the frameworks and technologies involved in the digitalization of agriculture, as well as the data processing methods, decision-making processes, and innovative services/applications for enabling digital transformations in agriculture. The chapters are written by experts sharing their experiences in lucid language through case studies, suitable illustrations, and tables. The contents have been designed to fulfill the needs of geospatial, data science, agricultural, and environmental sciences of universities, agricultural universities, technological universities, research institutes, and academic colleges worldwide. It helps the planners, policymakers, and extension scientists plan and sustainably manage agriculture and natural resources.

Author : Petra Moser
Publisher : University of Chicago Press
Page : 270 pages
File Size : 43,5 Mb
Release : 2021-10-08
Category : Business & Economics
ISBN : 9780226779195

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Economics of Research and Innovation in Agriculture by Petra Moser Pdf

Feeding the world’s growing population is a critical policy challenge for the twenty-first century. With constraints on water, arable land, and other natural resources, agricultural innovation is a promising path to meeting the nutrient needs for future generations. At the same time, potential increases in the variability of the world’s climate may intensify the need for developing new crops that can tolerate extreme weather. Despite the key role for scientific breakthroughs, there is an active discussion on the returns to public and private spending in agricultural R&D, and many of the world’s wealthier countries have scaled back the share of GDP that they devote to agricultural R&D. Dwindling public support leaves universities, which historically have been a major source of agricultural innovation, increasingly dependent on industry funding, with uncertain effects on the nature and direction of agricultural research. All of these factors create an urgent need for systematic empirical evidence on the forces that drive research and innovation in agriculture. This book aims to provide such evidence through economic analyses of the sources of agricultural innovation, the challenges of measuring agricultural productivity, the role of universities and their interactions with industry, and emerging mechanisms that can fund agricultural R&D.

Author : OECD
Publisher : Unknown
Page : 128 pages
File Size : 52,8 Mb
Release : 2019
Category : Electronic
ISBN : 9264342060

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Innovation, Productivity and Sustainability in Food and Agriculture by OECD Pdf

Author : OECD
Publisher : OECD Publishing
Page : 234 pages
File Size : 47,7 Mb
Release : 2019-09-23
Category : Electronic
ISBN : 9789264887855

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Digital Opportunities for Better Agricultural Policies by OECD Pdf

Recent digital innovations provide opportunities to deliver better policies for the agriculture sector by helping to overcome information gaps and asymmetries, lower policy-related transaction costs, and enable people with different preferences and incentives to work better together. Drawing on ten illustrative case studies and unique new data gathered via an OECD questionnaire on agri-environmental policy organisations' experiences with digital tools, this report explores opportunities to improve current agricultural and agri-environmental policies, and to deliver new, digitally enabled and information-rich policy approaches.

Author : G. P. Obi Reddy,Mehul S. Raval,J. Adinarayana,Sanjay Chaudhary
Publisher : Springer Nature
Page : 326 pages
File Size : 49,5 Mb
Release : 2021-10-11
Category : Technology & Engineering
ISBN : 9789811658471

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Data Science in Agriculture and Natural Resource Management by G. P. Obi Reddy,Mehul S. Raval,J. Adinarayana,Sanjay Chaudhary Pdf

This book aims to address emerging challenges in the field of agriculture and natural resource management using the principles and applications of data science (DS). The book is organized in three sections, and it has fourteen chapters dealing with specialized areas. The chapters are written by experts sharing their experiences very lucidly through case studies, suitable illustrations and tables. The contents have been designed to fulfil the needs of geospatial, data science, agricultural, natural resources and environmental sciences of traditional universities, agricultural universities, technological universities, research institutes and academic colleges worldwide. It will help the planners, policymakers and extension scientists in planning and sustainable management of agriculture and natural resources. The authors believe that with its uniqueness the book is one of the important efforts in the contemporary cyber-physical systems.

Author : Suchismita Satapathy,Debesh Mishra,Arturo Realyvásquez Vargas
Publisher : Springer Nature
Page : 129 pages
File Size : 50,5 Mb
Release : 2022-01-01
Category : Business & Economics
ISBN : 9783030888282

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Innovation in Agriculture with IoT and AI by Suchismita Satapathy,Debesh Mishra,Arturo Realyvásquez Vargas Pdf

This book examines different innovations in worldwide agricultural-systems including the applications of artificial intelligence (AI), internet of things (IoT) and features of machine learning (ML) for the benefits of the farm-community. Specifically, it examines the use of agricultural equipment and IoT to reduce physical stress; innovative equipment that measure and reduce mental work load; and innovative techniques to help with employee safety. Featuring case studies and future implications, this book is an excellent guide for academics and researchers in the agri-sector.

Author : Prasant Kumar Pattnaik,Raghvendra Kumar,Souvik Pal,S. N. Panda
Publisher : Springer Nature
Page : 250 pages
File Size : 53,9 Mb
Release : 2019-10-01
Category : Technology & Engineering
ISBN : 9789811391774

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IoT and Analytics for Agriculture by Prasant Kumar Pattnaik,Raghvendra Kumar,Souvik Pal,S. N. Panda Pdf

This book presents recent findings on virtually every aspect of wireless IoT and analytics for agriculture. It discusses IoT-based monitoring systems for analyzing the crop environment, and methods for improving the efficiency of decision-making based on the analysis of harvest statistics. In turn, it addresses the latest innovations, trends, and concerns, as well as practical challenges encountered and solutions adopted in the fields of IoT and analytics for agriculture. In closing, it explores a range of applications, including: intelligent field monitoring, intelligent data processing and sensor technologies, predictive analysis systems, crop monitoring, and weather data-enabled analysis in IoT agro-systems.

Author : Kelly Bronson
Publisher : McGill-Queen's Press - MQUP
Page : 123 pages
File Size : 47,5 Mb
Release : 2022-08-15
Category : Social Science
ISBN : 9780228012542

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The Immaculate Conception of Data by Kelly Bronson Pdf

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 : Hugo Campos
Publisher : Springer Nature
Page : 234 pages
File Size : 45,9 Mb
Release : 2020-10-07
Category : Technology & Engineering
ISBN : 9783030509910

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The Innovation Revolution in Agriculture by Hugo Campos Pdf

This open access book is an important reframing of the role of innovation in agriculture. Dr. Campos and his distinguished coauthors address the need for agriculture to feed a growing global population with a reduced environmental footprint while adapting to and mitigating the effects of changing climate. The authors expand the customary discussion of innovation in terms of supply driven R&D to focus on the returns to investors and most importantly, the value to end-users. This is brought to life by exploring effective business models and many cases from agricultural systems across the globe. The focus on converting the results of innovation in R&D into adoption by farmers and other end-users is its greatest contribution. Many lessons from the book can be applied to private and public sectors across an array of agricultural systems. This book will be of enormous value to agri-business professionals, NGO leaders, agricultural and development researchers and those funding innovation and agriculture across the private and public sectors. Tony Cavalieri, Senior Program Officer, Bill & Melinda Gates Foundation Hugo Campos, Ph.D., MBA, has 20+ years of international corporate and development experience. His distinguished coauthors represent a rich collection of successful innovation practice in industry, consultancy, international development and academy, in both developed and developing countries.”