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The FAO-ITU E-agriculture strategy guide (available at http://www.fao.org/3/a-i5564e.pdf) is actively being used to assist countries in the successful identification, development and implementation of sustainable ICT solutions for agriculture.The use of unmanned aerial vehicles (UAVs), also known as drones, and connected analytics has great potential to support and address some of the most pressing problems faced by agriculture in terms of access to actionable real-time quality data. Goldman Sachs predicts that the agriculture sector will be the second largest user of drones in the world in the next five years. Sensor networks based on the Internet of things (IoT) are increasingly being used in the agriculture sector to meet the challenge of harvesting meaningful and actionable information from the big data generated by these systems. This publication is the second in the series titled E-agriculture in action (2016), launched by FAO and ITU, and builds on the previous FAO publications that highlight the use of ICT for agriculture such as Mobile technologies for agriculture and rural development (2012), Information and communication technologies for agriculture and rural development (2013) and Success stories on information and communication technologies for agriculture and rural development (2015). The ultimate aim is to promote successful, scalable, sustainable and replicable ICT for agriculture (ICT4Ag) solutions.
Climate change is causing unprecedented damage to our ecosystem. Increasing temperatures, ocean warming and acidification, severe droughts, wildfires, altered precipitation patterns, melting glaciers, rising sea levels and amplification of extreme weather events have direct implications for our food systems. While the impacts of such environmental factors on food security are well known, the effects on food safety receive less attention. The purpose of Climate change: Unpacking the burden on food safety is to identify and attempt to quantify some current and anticipated food safety issues that are associated with climate change. The food safety hazards considered in the publication are foodborne pathogens and parasites, harmful algal blooms, pesticides, mycotoxins and heavy metals with emphasis on methylmercury. There is also, a dedicated section on the benefits of forward-looking approaches such as horizon scanning and foresight, which will not only aid in anticipating future challenges in a shifting global food safety landscape, but also help build resilient food systems that can be continually updated as more knowledge is assimilated. By building a more widespread and better understanding of the consequences climate change has on food safety, it is hoped that this document will aid in fostering stronger international cooperation in making our food safer by reducing the global burden of these concerns.
Advances in Artificial Intelligence (AI) technology have opened up new markets and new opportunities for progress in critical areas such as health, education, energy, and the environment. In recent years, machines have surpassed humans in the performance of certain specific tasks, such as some aspects of image recognition. Experts forecast that rapid progress in the field of specialized artificial intelligence will continue. Although it is very unlikely that machines will exhibit broadly-applicable intelligence comparable to or exceeding that of humans in the next 20 years, it is to be expected that machines will reach and exceed human performance on more and more tasks. As a contribution toward preparing the United States for a future in which AI plays a growing role, this report surveys the current state of AI, its existing and potential applications, and the questions that are raised for society and public policy by progress in AI. The report also makes recommendations for specific further actions by Federal agencies and other actors.
As technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of “smart” farming has led to various advancements in the field, including autonomous equipment and the collection of climate, livestock, and plant data. As connectivity and data management continue to revolutionize the farming industry, empirical research is a necessity for understanding these technological developments. Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture provides emerging research exploring the theoretical and practical aspects of critical technological solutions within the farming industry. Featuring coverage on a broad range of topics such as crop monitoring, precision livestock farming, and agronomic data processing, this book is ideally designed for farmers, agriculturalists, product managers, farm holders, manufacturers, equipment suppliers, industrialists, governmental professionals, researchers, academicians, and students seeking current research on technological applications within agriculture and farming.
"This volume presents in detail the fundamental theories of linear regression analysis and diagnosis, as well as the relevant statistical computing techniques so that readers are able to actually model the data using the techniques described in the book. This book is suitable for graduate students who are either majoring in statistics/biostatistics or using linear regression analysis substantially in their subject area." --Book Jacket.
It is now an acknowledged fact in the world of linguistics that the concept of evaluation is crucial, and that there is very little – if any – discourse that cannot be analyzed through the prism of its evaluative content. This book presents some of the latest developments in the study of this phenomenon. Released more than a decade later than Hunston and Thompson’s (2000) Evaluation in Text, Evaluation in Context is designed as its sequel, in an attempt to continue, update and extend the different avenues of research opened by the earlier work. Both theoretical and empirical studies on the topic are presented, with the intention of scrutinizing as many of its dimensions as possible, by not only looking at evaluative texts, but also considering the aspects of the discursive context that affect the final evaluative meaning at both the production and reception stages of the evaluative act. The editors’ main objective has been to gather contributions which investigate the manifold faces and phases of evaluation by presenting a wide variety of perspectives that include different linguistic theories (e.g. Axiological Semantics, Functionalism or Politeness Theory), different levels of linguistic description (e.g. phonological, lexical or semantic), and different text types and contexts (e.g. the evaluation found in ironic discourse, the multimodality of media discourse or the world of politics, just to name a few). The volume can be of use not only for scholars who study the evaluative function of language, but also for students who wish to pursue research in the area.
From 30 January to 1 February 2019 the Daniel K. Inouye Asia-Pacific Center forSecurity Studies hosted a Department of Defense Regional Center collaborationtitled "China's Global Reach: A Security Assessment." The goal of the workshopwas to leverage expertise and unique perspectives from all five Regional Centersto examine the actions and intentions of the People's Republic of China. To understand how these global activities impact the United States, this analysis was conducted within the context of the PRC's perspective of its own foreign policy, as well as under a state of strategic competition, as referenced in the 2017 National Security Strategy and 2018 National Defense Strategy. The workshopleveraged the insights gained from a broad range of experts to formulate policyrecommendations for defending state interests in the face of growing PRC assertiveness. Thescholarship, insights, and recommendations of the participants are collected in this volumefor the benefit of policy-makers, practitioners,and scholars.
Machine learning algorithms and artificial intelligence influence many aspects of life today. This report identifies some of their shortcomings and associated policy risks and examines some approaches for combating these problems.