This Palgrave Pivot employs the concept of open source agriculture as a new social movement, which not only advocates a specific agenda but also creates technological products under a unique technology development model. The book brings together social movement and technology theory to examine it through two in-depth case studies of open source agricultural communities. This allows for the tracing of values and interests coded within the technological artefacts the communities produce, as well as their development processes. Critical theory of technology is further applied to examine the broader political economy of the development model.

This book constitutes the thoroughly refereed post-conference proceedings of the International Workshop on Interoperability and Open-Source Solutions for the Internet of Things, FP7 OpenIot Project, held in Conjunction with SoftCOM 2014, in Split, Croatia, in September 2014. The 11 revised full papers presented together with the extended abstracts of 2 keynote talks were carefully reviewed and selected from numerous submissions during two rounds of reviewing and improvement. The papers are organized in topical sections on OpenIoT platform, open platforms and standards, and IoT Applications.

This book constitutes the thoroughly refereed post-conference proceedings of the Third IFIP TC 12 International Conference on Computer and Computing Technologies in Agriculture, CCTA 2009, held in Beijing, China, in October 2009. The 80 revised papers were carefully selected from numerous submissions. The papers cover a wide range of interesting theories and applications of information technology in agriculture, including simulation models and decision-support systems for agricultural production, agricultural product quality testing, traceability and e-commerce technology, the application of information and communication technology in agriculture and universal information service technology, and service systems development in rural areas.

Precision agriculture is a reality in agriculture and is playing a key role as the industry comes to terms with the environment, market forces, quality requirements, traceability, vehicle guidance and crop management. Sensors now in use in agriculture are generating ‘Big Data’ leading to the use of machine learning and AI - an increasing challenge for agriculture. Research continues to be necessary, and needs to be reported and disseminated to a wide audience. These edited proceedings contain peer reviewed papers presented at the 14th European Conference on Precision Agriculture, held in Bologna, Italy. The papers reflect the wide range of disciplines that impinge on precision agriculture - technology, crop science, soil science, agronomy, information technology, decision support, remote sensing, data analysis and others. The broad range of research topics reported will be a valuable resource for researchers, advisors, teachers and professionals in agriculture long after the conference has finished.

What Is Agricultural Robotics Every day, we are reminded that the robot revolution is advancing. From self-driving cars to automated cashiers, robots are increasingly becoming a part of our daily lives. While most of our attention has been focused on robots in the manufacturing industry, there is one essential field of activity that they may affect more than any other. Indeed, Food is an absolute requirement that must be produced at whatever cost. As a result, we require either more farmers or new methods of producing food with little manpower. The robots are on their way to save the day. Are you prepared for agricultural robotics? How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Agricultural Robot Chapter 2: Agricultural Drone Chapter 3: Driverless Tractor Chapter 4: Farmbot Chapter 5: Open-Source Ecology Chapter 6: Cloud Seeding Chapter 7: Aerial Seeding Chapter 8: Mechanized Agriculture Chapter 9: Agricultural Machinery Chapter 10: Precision Agriculture Chapter 11: Information and Communications Technology in Agriculture Chapter 12: Machine Vision (II) Answering the public top questions about agricultural robotics. (III) Real world examples for the usage of agricultural robotics in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technology in each industry to have 360-degree full understanding of agricultural robotics' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of agricultural robotics.

In the age of climate change, food scarcity, and increasing industrialization, can a few visionary farmers find global solutions through technology and create networked, open-source regenerative agriculture at a truly transformative scale? In The Great Regeneration, farmer-technologist Dorn Cox and author-activist Courtney White explore unique, groundbreaking research aimed at reclaiming the space where science and agriculture meet as a shared human endeavor. By employing the same tools used to visualize and identify the global instability in our climate and our communities—such as satellite imagery—they identify ways to accelerate regenerative solutions beyond the individual farm. The Great Regeneration also explores the critical function that open-source tech can have in promoting healthy agroecological systems, through data-sharing and networking. If these systems are brought together, there is potential to revolutionize how we manage food production around the world, decentralizing and deindustrializing the structures and governance that have long dominated the agricultural landscape, and embrace the principles of regenerative agriculture with democratized, open-source technology, disseminating high-quality information, not just to farmers and ranchers, but to all of us as we take on the role of ecosystem stewards. In this important book, the authors present a simple choice: we can allow ourselves to be dominated by new technology, or we can harness its potential and use it to understand and improve our shared environment. The solutions we need now, they write, involve a broader public narrative about our relationship to science, to each other, and to our institutions. And we all need to understand that the choices made today will affect the generations to come. The Great Regeneration shows how, together, we can create positive and lasting change.

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.