528 research outputs found

    Robots in Agriculture: State of Art and Practical Experiences

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    The presence of robots in agriculture has grown significantly in recent years, overcoming some of the challenges and complications of this field. This chapter aims to collect a complete and recent state of the art about the application of robots in agriculture. The work addresses this topic from two perspectives. On the one hand, it involves the disciplines that lead the automation of agriculture, such as precision agriculture and greenhouse farming, and collects the proposals for automatizing tasks like planting and harvesting, environmental monitoring and crop inspection and treatment. On the other hand, it compiles and analyses the robots that are proposed to accomplish these tasks: e.g. manipulators, ground vehicles and aerial robots. Additionally, the chapter reports with more detail some practical experiences about the application of robot teams to crop inspection and treatment in outdoor agriculture, as well as to environmental monitoring in greenhouse farming

    From the Field to Fork

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    Precision Agriculture is an up and coming side of farming all over the United States. Being able to use technology to benefit the yields is beneficial to all farmers that are using this form of farming. Many different things that make up precision agriculture are Global Positioning systems, self-driven tractors, yield mapping, drones, variable-rate technologies, and remote sensing systems. All of these techniques contribute to making precision agriculture what it is today. Expensive is a key factor in rather or not a farmer will use these techniques, as well as the benefits and drawbacks of each. Precision agriculture is still continuing to grow and will continue to grow throughout the years due to technology advancements

    Ground and Aerial Robots for Agricultural Production: Opportunities and Challenges

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    Crop and animal production techniques have changed significantly over the last century. In the early 1900s, animal power was replaced by tractor power that resulted in tremendous improvements in field productivity, which subsequently laid foundation for mechanized agriculture. While precision agriculture has enabled site-specific management of crop inputs for improved yields and quality, precision livestock farming has boosted efficiencies in animal and dairy industries. By 2020, highly automated systems are employed in crop and animal agriculture to increase input efficiency and agricultural output with reduced adverse impact on the environment. Ground and aerial robots combined with artificial intelligence (AI) techniques have potential to tackle the rising food, fiber, and fuel demands of the rapidly growing population that is slated to be around 10 billion by the year 2050. This Issue Paper presents opportunities provided by ground and aerial robots for improved crop and animal production, and the challenges that could potentially limit their progress and adoption. A summary of enabling factors that could drive the deployment and adoption of robots in agriculture is also presented along with some insights into the training needs of the workforce who will be involved in the next-generation agriculture

    Proceedings of the European Conference on Agricultural Engineering AgEng2021

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    This proceedings book results from the AgEng2021 Agricultural Engineering Conference under auspices of the European Society of Agricultural Engineers, held in an online format based on the University of Évora, Portugal, from 4 to 8 July 2021. This book contains the full papers of a selection of abstracts that were the base for the oral presentations and posters presented at the conference. Presentations were distributed in eleven thematic areas: Artificial Intelligence, data processing and management; Automation, robotics and sensor technology; Circular Economy; Education and Rural development; Energy and bioenergy; Integrated and sustainable Farming systems; New application technologies and mechanisation; Post-harvest technologies; Smart farming / Precision agriculture; Soil, land and water engineering; Sustainable production in Farm buildings

    Agricultural robotics: part of the new deal?

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    Throughout the fifth edition of the International Forum of Agricultural Robots (FIRA) in December 2020, more than 1,500 farmers, manufacturers, advanced technology suppliers, innovators, investors, journalists and experts from 71 countries around the world gathered to ask questions, share stories and exchange ideas about agricultural robots. This book is a journey into the state of the art of this industry in 2020, and includes 27 agricultural robot information sheets. It is designed to provide a nuanced look at the industry’s most pressing topics, from the overarching impact of the global food crisis to the everyday influence of semi-autonomous tractors on a family-owned farm in France. The book achieves this goal by taking a deep dive into the perspectives shared by FIRA 2020 presenters and panelists

    The Economics of the Internet of Things in the Global South

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    While the Internet of Things (IoT) is not new, its key components are becoming increasingly affordable now, which makes the technology extremely attractive for the Global South. By collecting data from various IoT sources, combining them with data from other sources and using big data analytics, decisions can be made and actions can be taken that can have important economic, social, ecological and environmental implications in these countries. The most visible impacts of the IoT in these countries include improvements in agricultural and food systems, enhancement of environmental security and resource conservation, achievement of better healthcare, public health and medicine, and enhancement of the efficiency of key industries. This paper provides an overview of how the IoT is currently being used in the Global South. It also discusses the opportunities and challenges that IoT initiatives present there. The analysis indicates that the IoT may address some of the institutional bottlenecks, technological challenges and key sources of high transaction costs. On the other hand, various sources of underdevelopment may act as barriers to full utilisation of the IoT

    VEHÍCULOS TERRESTRES NO TRIPULADOS, SUS APLICACIONES Y TECNOLOGÍAS DE IMPLEMENTACIÓN

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    Unmanned ground vehicles are considered semi-autonomous or autonomous machines that perform complex operations of transport and monitoring of physical and environmental variables; to mention a few. These vehicles allow for the customization, optimization, and flexibility of the demands and challenges of innovation in multiple industry applications such as mapping, agriculture, security, mining, telemetry, military, geoscience, environmental, and logistics; therefore, we believe that consolidating the scientific information published around this topic allows readers to understand the connections between different approaches, applications, and enabling technologies to determine the direction in which they wish to take their research; and, at the same time, promotes more discussion about the fusion of mobile robotics into the internet applications of things that are emerging in today's industry. In this article, the web tool "Tree of Science" and the Systematic Review for information analysis were implemented.Los vehículos terrestres no tripulados son considerados máquinas semi autónomas o autónomas que realizan operaciones complejas de transporte y monitoreo de variables físicas y ambientales; por mencionar algunas. Estos vehículos permiten personalizar, optimizar y dar flexibilidad a las demandas y desafíos de innovación en múltiples campos de aplicación en la industria como cartografía, agricultura, seguridad, minería, telemetría, militar, geociencia, ambiental y logística; por tanto, creemos que consolidar la información científica publicada alrededor de este tema permite a los lectores comprender las conexiones entre los diferentes enfoques, aplicaciones y tecnologías habilitadoras para determinar el rumbo al cual desean llevar su investigación; y, al mismo tiempo, promover más debates sobre la fusión de la robótica móvil en las aplicaciones de internet de las cosas que están emergiendo en la industrial actual. En este artículo se implementó la herramienta web “Tree of Science” y la Revisión Sistemática para el análisis de la información

    Embedded System Design of Robot Control Architectures for Unmanned Agricultural Ground Vehicles

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    Engineering technology has matured to the extent where accompanying methods for unmanned field management is now becoming a technologically achievable and economically viable solution to agricultural tasks that have been traditionally performed by humans or human operated machines. Additionally, the rapidly increasing world population and the daunting burden it places on farmers in regards to the food production and crop yield demands, only makes such advancements in the agriculture industry all the more imperative. Consequently, the sector is beginning to observe a noticeable shift, where there exist a number of scalable infrastructural changes that are in the process of slowly being implemented onto the modular machinery design of agricultural equipment. This work is being pursued in effort to provide firmware descriptions and hardware architectures that integrate cutting edge technology onto the embedded control architectures of agricultural machinery designs to assist in achieving the end goal of complete and reliable unmanned agricultural automation. In this thesis, various types of autonomous control algorithms integrated with obstacle avoidance or guidance schemes, were implemented onto controller area network (CAN) based distributive real-time systems (DRTSs) in form of the two unmanned agricultural ground vehicles (UAGVs). Both vehicles are tailored to different applications in the agriculture domain as they both leverage state-of-the-art sensors and modules to attain the end objective of complete autonomy to allow for the automation of various types of agricultural related tasks. The further development of the embedded system design of these machines called for the developed firmware and hardware to be implemented onto both an event triggered and time triggered CAN bus control architecture as each robot employed its own separate embedded control scheme. For the first UAGV, a multiple GPS waypoint navigation scheme is derived, developed, and evaluated to yield a fully controllable GPS-driven vehicle. Additionally, obstacle detection and avoidance capabilities were also implemented onto the vehicle to serve as a safety layer for the robot control architecture, giving the ground vehicle the ability to reliability detect and navigate around any obstacles that may happen to be in the vicinity of the assigned path. The second UAGV was a smaller robot designed for field navigation applications. For this robot, a fully autonomous sensor based algorithm was proposed and implemented onto the machine. It is demonstrated that the utilization and implementation of laser, LIDAR, and IMU sensors onto a mobile robot platform allowed for the realization of a fully autonomous non-GPS sensor based algorithm to be employed for field navigation. The developed algorithm can serve as a viable solution for the application of microclimate sensing in a field. Advisors: A. John Boye and Santosh Pitl
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