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1. |
Record Nr. |
UNINA9910743249303321 |
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Autore |
Pattnaik Prasant Kumar |
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Titolo |
Internet of Things and Analytics for Agriculture, Volume 3 / / edited by Prasant Kumar Pattnaik, Raghvendra Kumar, Souvik Pal |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
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ISBN |
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9789811662102 |
981166210X |
9789811662096 |
9811662096 |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (385 pages) |
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Collana |
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Studies in Big Data, , 2197-6511 ; ; 99 |
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Disciplina |
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Soggetti |
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Internet of things |
Artificial intelligence |
Agriculture - Economic aspects |
Sustainability |
Internet of Things |
Artificial Intelligence |
Agricultural Economics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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IoT: Foundations and Applications -- Functional Framework for IoT-based agricultural system -- Field monitoring and automation system -- Agriculture Sensor Network: Infrastructure, protocols and standards -- Implementation of sensors and RFID for disease and pest control -- Sensor-based Precision agriculture, Sensor data acquisition. . |
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Sommario/riassunto |
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The book discusses one of the major challenges in agriculture which is delivery of cultivate produce to the end consumers with best possible price and quality. Currently all over the world, it is found that around 50% of the farm produce never reaches the end consumer due to wastage and suboptimal prices. The authors present solutions to reduce the transport cost, predictability of prices on the past data analytics and the current market conditions, and number of middle hops and agents between the farmer and the end consumer using IoT- |
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based solutions. Again, the demand by consumption of agricultural products could be predicted quantitatively; however, the variation of harvest and production by the change of farm's cultivated area, weather change, disease and insect damage, etc., could be difficult to be predicted, so that the supply and demand of agricultural products has not been controlled properly. To overcome, this edited book designed the IoT-based monitoring system to analyze crop environment and the method to improve the efficiency of decision making by analyzing harvest statistics. The book is also useful for academicians working in the areas of climate changes. |
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2. |
Record Nr. |
UNINA9910166647703321 |
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Autore |
Ietswaart Magdalena |
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Titolo |
Mental Practice - Clinical and Experimental Research in Imagery and Action Observation |
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Pubbl/distr/stampa |
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Descrizione fisica |
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1 online resource (208 p.) |
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Collana |
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Frontiers Research Topics |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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There is now strong evidence demonstrating that the brain simulates action and other functions. Such action simulation can be evoked through conscious mental rehearsal of movement or imagery, but also through passive action observation watching movements in others. Furthermore, there is evidence to suggest that mental rehearsal of movement, or mental practice, can produce improvements normally attributed to practising actual movements. It is currently assumed that such improvements are due to neural activation associated with action simulation. However the neuroscience of mental practice efficacy is still poorly understood. The aim of this research topic is to clarify the underlying mechanisms of mental practice, bringing evidence from |
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cognitive neuroscience, experimental neuropsychology, sport and movement science, and clinical neurology. It also attempts to address confusion regarding the concepts of imagery and observation, which has hampered the progression of mental practice research both scientifically and applied. As well as reviews, theoretical, and position articles, this research topic includes original neuroimaging, experimental, and patient research addressing, among others, the following issues. Neuroimaging studies provide strong evidence for action simulation, but the link to behavioural change and functional outcome is weak. What is the evidence that mental practice efficacy is driven by neuroplasticity processes evoked by action simulation? This research topic includes contributions on neural correlates and behaviour with regards to imagery and action observation. Much of the mental practice efficacy evidence comes from longstanding research within sport science. However, what does mental practice entail in these contexts, and to what extent is it compatible with the cognitive neuroscience perspective of action simulation? This research topic will include contributions that consider both evidence and concepts with regards to imagery and action observation, in an attempt to build an interdisciplinary consensus on the nature and application of mental practice. Mental practice is perceived as a promising motor rehabilitation technique, but critically there is lack of clarity or consensus on what mental practice treatment should entail. It is also not clear what are the most appropriate outcomes to measure imagery ability and cognitive or behavioural change following mental practice. A further important issue that needs consideration as part of this research topic is dosage, as it is currently unclear how much mental practice is appropriate and whether this depends on patient variables such as age, cognitive functioning, motor function, or pathophysiology. |
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