22,932 research outputs found

    ASAS–NANP Symposium: Mathematical Modeling in Animal Nutrition: Opportunities and Challenges of Confned and Extensive Precision Livestock Production

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    Modern animal scientists, industry, and managers have never faced a more complex world. Precision livestock technologies have altered management in confned operations to meet production, environmental, and consumer goals. Applications of precision technologies have been limited in extensive systems such as rangelands due to lack of infrastructure, electrical power, communication, and durability. However, advancements in technology have helped to overcome many of these challenges. Investment in precision technologies is growing within the livestock sector, requiring the need to assess opportunities and challenges associated with implementation to enhance livestock production systems. In this review, precision livestock farming and digital livestock farming are explained in the context of a logical and iterative fve-step process to successfully integrate precision livestock measurement and management tools, emphasizing the need for precision system models (PSMs). This fve-step process acts as a guide to realize anticipated benefts from precision technologies and avoid unintended consequences. Consequently, the synthesis of precision livestock and modeling examples and key case studies help highlight past challenges and current opportunities within confned and extensive systems. Successfully developing PSM requires appropriate model(s) selection that aligns with desired management goals and precision technology capabilities. Therefore, it is imperative to consider the entire system to ensure that precision technology integration achieves desired goals while remaining economically and managerially sustainable. Achieving long-term success using precision technology requires the next generation of animal scientists to obtain additional skills to keep up with the rapid pace of technology innovation. Building workforce capacity and synergistic relationships between research, industry, and managers will be critical. As the process of precision technology adoption continues in more challenging and harsh, extensive systems, it is likely that confned operations will beneft from required advances in precision technology and PSMs, ultimately strengthening the benefts from precision technology to achieve short- and long-term goals

    Precision Livestock Farming Technologies for Pig Welfare - Policy Spotlight

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    Precision Livestock Farming Technologies for Pig Welfare - Policy Spotlight

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    Precision livestock farming, automats and new technologies: possible applications in extensive dairy sheep farming

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    Precision livestock farming (PLF) technologies are becoming increasingly common in modern agriculture. They are frequently integrated with other new technologies in order to improve human–livestock interactions, productivity and economical sustainability of modern farms. New systems are constantly being developed for concentrated farming operations as well as for extensive and pasture-based farming systems. The development of technologies for grazing animals is of particular interest for the Mediterranean extensive sheep farming sector. Dairy sheep farming is a typical production system of the area linked to its historical and cultural traditions. The area provides roughly 40% of the world sheep milk, having 27% of the milk-producing ewes. Developed countries of the area (France, Italy, Greece and Spain – FIGS) have highly specialized production systems improved through animal selection, feeding techniques and intensification of production. However, extensive systems are still practiced alongside intensive ones due to their lower input costs and better resilience to market fluctuations. In the current article, we evaluate possible PLF systems and their suitability to be incorporated in extensive dairy sheep farming as practiced in the FIGS countries. Available products include: electronic identification systems (now mandatory in the EU) such as ear tags, ruminal boluses and sub-cutaneous radio-frequency identification; on-animal sensors such as accelerometers, global positioning system) and social activity loggers; and stationary management systems such as walk-over-weights, automatic drafter (AD), virtual fencing and milking parlour-related technologies. The systems were considered according to their suitability for the management and business model common in dairy sheep farming. However, adoption of new technologies does not take place immediately in small and medium scale extensive farmer. As sheep farmers usually belong to more conservative technology consumers, characterized by average age of 60 and a very transparent community, dynamics which does not favour financial risk taking involved with new technologies. Financial barriers linked to production volumes and resource management of extensive farming are also a barrier for innovation. However, future prospective could increase the importance of technology and promote its wider adoption. Trends such as global sheep milk economics, global warming, awareness to animal welfare, antibiotics resistance and European agricultural policies could influence the farming practices and stimulate wider adoption of PLF systems in the near future

    Precision Agriculture for Crop and Livestock Farming—Brief Review

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    In the last few decades, agriculture has played an important role in the worldwide economy. The need to produce more food for a rapidly growing population is creating pressure on crop and animal production and a negative impact to the environment. On the other hand, smart farming technologies are becoming increasingly common in modern agriculture to assist in optimizing agricultural and livestock production and minimizing the wastes and costs. Precision agriculture (PA) is a technology-enabled, data-driven approach to farming management that observes, measures, and analyzes the needs of individual fields and crops. Precision livestock farming (PLF), relying on the automatic monitoring of individual animals, is used for animal growth, milk production, and the detection of diseases as well as to monitor animal behavior and their physical environment, among others. This study aims to briefly review recent scientific and technological trends in PA and their application in crop and livestock farming, serving as a simple research guide for the researcher and farmer in the application of technology to agriculture. The development and operation of PA applications involve several steps and techniques that need to be investigated further to make the developed systems accurate and implementable in commercial environments.info:eu-repo/semantics/publishedVersio

    Putting precision livestock research to work in extensive livestock production systems

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    Since the relatively recent appearance in precision agriculture circles (as opposed to the domain of livestock R&D) of precision livestock management (PLM), this new form of PA has come a long way. In extensive farming systems, where the geographical conditions are challenging (large spatial scale and often considerable environmental heterogeneity), there are fewer precision livestock technologies at work than compared to, say, intensive livestock production systems. However the time lapse between R&D and operational use appears to be significantly shorter. R&D first reported only a few years ago is appearing in operational form owing largely to the proliferation of existing OEM devices or systems that can be easily repurposed by producers to put the R&D outcomes to work. In the context of extensive operations, to date, precision livestock R&D has tended to focus on two areas, independent of one another; namely feed base monitoring/management tools, and animal monitoring/management tools. Only recently are we seeing practical attempts to bring the two together

    Technology and responsibility: a discussion of underexamined risks and concerns in Precision Livestock Farming

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    Implications Precision Livestock Farming (PLF) promises to replicate at scale, the care usually provided by farmers who know their animals. This suite of current and developing technologies has the potential to address many problems facing modern farms. Many underexamined concerns still exist around PLF, some of which are common to many new technologies, and others of which are more specific to these technologies being implemented on farms with humans and nonhuman animals. Though these concerns are not a sufficient reason to abandon PLF, they ought to be considered more carefully by everyone working on developing, implementing, or legislating these technologies

    How can we make sense of smart technologies for sustainable agriculture? - A discussion paper

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    This paper discusses the challenges of assessing the benefits and risks of new digital technologies, so-called ‘smart technologies’ for sustainable agri-food systems. It builds on the results of a literature review that was embedded in a wider study on future options for (sustainable) farming systems in Germany. Following the concepts of Actor-Network-Theory, we can conceive of smart technologies in agriculture as networks that can only be understood in their entirety when considering the relationships with all actors involved: technology developers, users (farmers, consumers and others), data analysts, legal regulators, policy makers, and potential others. Furthermore, interaction of the technology and its implementers with nature, such as plants, entire landscapes, and animals, need to be taken into consideration. As a consequence, we have to deal with a highly complex system when assessing the technology – at a time where many of the relevant questions have not been sufficiently researched yet. Building on the FAO’s SAFA guidelines, the paper outlines criteria against which smart technologies could be assessed for their potential to contribute to a sustainable development of agri-food systems. These include aspects of governance, ecology, economy and social issues. We draw some tentative conclusions on the required framework conditions for implementation of digital technology, in particular from the perspective of sustainable agriculture. These are aimed at fuelling further discussion about the potentials and risks of the technology
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