Smart agriculture: emerging pedagogies of deep learning, machine learning and Internet of Things
This book endeavours to highlight the untapped potential of Smart Agriculture for the innovation and expansion of the agriculture sector. The sector shall make incremental progress as it learns from associations between data over time through Artificial Intelligence, deep learning and Internet of Things applications. The farming industry and Smart agriculture develop from the stringent limits imposed by a farm's location, which in turn has a series of related effects with respect to supply chain management, food availability, biodiversity, farmers' decision-making and insurance, and environmental concerns among others. All of the above-mentioned aspects will derive substantial benefits from the implementation of a data-driven approach under the condition that the systems, tools and techniques to be used have been designed to handle the volume and variety of the data to be gathered. Contributions to this book have been solicited with the goal of uncovering the possibilities of engaging agriculture with equipped and effective profound learning algorithms. Most agricultural research centres are already adopting Internet of Things for the monitoring of a wide range of farm services, and there are significant opportunities for agriculture administration through the effective implementation of Machine Learning, Deep Learning, Big Data and IoT structures.
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| Format: | Texto biblioteca |
| Language: | eng |
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Boca Raton, FL (USA) CRC Press
2021
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| Subjects: | machine learning, artificial intelligence, agricultural innovation, agricultural mechanization, agricultural production, data collecting, SDGs, Goal 1 No poverty, Goal 9 Industry, innovation and infrastructure, |
| Online Access: | https://www.taylorfrancis.com/books/smart-agriculture-govind-singh-patel-amrita-rai-nripendra-narayan-das-singh/e/10.1201/b22627 |
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unfao:8549332021-05-05T06:52:06ZSmart agriculture: emerging pedagogies of deep learning, machine learning and Internet of Things 1423211782349 Singh Patel, G. (ed.) 1423211782350 Rai, A. (ed.) 1423211782351 Narayan Das, N. (ed.) 165666 Singh, R.P. (ed.) textBoca Raton, FL (USA) CRC Press2021engThis book endeavours to highlight the untapped potential of Smart Agriculture for the innovation and expansion of the agriculture sector. The sector shall make incremental progress as it learns from associations between data over time through Artificial Intelligence, deep learning and Internet of Things applications. The farming industry and Smart agriculture develop from the stringent limits imposed by a farm's location, which in turn has a series of related effects with respect to supply chain management, food availability, biodiversity, farmers' decision-making and insurance, and environmental concerns among others. All of the above-mentioned aspects will derive substantial benefits from the implementation of a data-driven approach under the condition that the systems, tools and techniques to be used have been designed to handle the volume and variety of the data to be gathered. Contributions to this book have been solicited with the goal of uncovering the possibilities of engaging agriculture with equipped and effective profound learning algorithms. Most agricultural research centres are already adopting Internet of Things for the monitoring of a wide range of farm services, and there are significant opportunities for agriculture administration through the effective implementation of Machine Learning, Deep Learning, Big Data and IoT structures. This book endeavours to highlight the untapped potential of Smart Agriculture for the innovation and expansion of the agriculture sector. The sector shall make incremental progress as it learns from associations between data over time through Artificial Intelligence, deep learning and Internet of Things applications. The farming industry and Smart agriculture develop from the stringent limits imposed by a farm's location, which in turn has a series of related effects with respect to supply chain management, food availability, biodiversity, farmers' decision-making and insurance, and environmental concerns among others. All of the above-mentioned aspects will derive substantial benefits from the implementation of a data-driven approach under the condition that the systems, tools and techniques to be used have been designed to handle the volume and variety of the data to be gathered. Contributions to this book have been solicited with the goal of uncovering the possibilities of engaging agriculture with equipped and effective profound learning algorithms. Most agricultural research centres are already adopting Internet of Things for the monitoring of a wide range of farm services, and there are significant opportunities for agriculture administration through the effective implementation of Machine Learning, Deep Learning, Big Data and IoT structures. machine learningartificial intelligenceagricultural innovationagricultural mechanizationagricultural productiondata collectingSDGsGoal 1 No povertyGoal 9 Industry, innovation and infrastructurehttps://www.taylorfrancis.com/books/smart-agriculture-govind-singh-patel-amrita-rai-nripendra-narayan-das-singh/e/10.1201/b22627URN:ISBN:978-1-00-313888-4 |
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machine learning artificial intelligence agricultural innovation agricultural mechanization agricultural production data collecting SDGs Goal 1 No poverty Goal 9 Industry, innovation and infrastructure machine learning artificial intelligence agricultural innovation agricultural mechanization agricultural production data collecting SDGs Goal 1 No poverty Goal 9 Industry, innovation and infrastructure |
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machine learning artificial intelligence agricultural innovation agricultural mechanization agricultural production data collecting SDGs Goal 1 No poverty Goal 9 Industry, innovation and infrastructure machine learning artificial intelligence agricultural innovation agricultural mechanization agricultural production data collecting SDGs Goal 1 No poverty Goal 9 Industry, innovation and infrastructure 1423211782349 Singh Patel, G. (ed.) 1423211782350 Rai, A. (ed.) 1423211782351 Narayan Das, N. (ed.) 165666 Singh, R.P. (ed.) Smart agriculture: emerging pedagogies of deep learning, machine learning and Internet of Things |
| description |
This book endeavours to highlight the untapped potential of Smart Agriculture for the innovation and expansion of the agriculture sector. The sector shall make incremental progress as it learns from associations between data over time through Artificial Intelligence, deep learning and Internet of Things applications. The farming industry and Smart agriculture develop from the stringent limits imposed by a farm's location, which in turn has a series of related effects with respect to supply chain management, food availability, biodiversity, farmers' decision-making and insurance, and environmental concerns among others. All of the above-mentioned aspects will derive substantial benefits from the implementation of a data-driven approach under the condition that the systems, tools and techniques to be used have been designed to handle the volume and variety of the data to be gathered. Contributions to this book have been solicited with the goal of uncovering the possibilities of engaging agriculture with equipped and effective profound learning algorithms. Most agricultural research centres are already adopting Internet of Things for the monitoring of a wide range of farm services, and there are significant opportunities for agriculture administration through the effective implementation of Machine Learning, Deep Learning, Big Data and IoT structures.
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| format |
Texto |
| topic_facet |
machine learning artificial intelligence agricultural innovation agricultural mechanization agricultural production data collecting SDGs Goal 1 No poverty Goal 9 Industry, innovation and infrastructure |
| author |
1423211782349 Singh Patel, G. (ed.) 1423211782350 Rai, A. (ed.) 1423211782351 Narayan Das, N. (ed.) 165666 Singh, R.P. (ed.) |
| author_facet |
1423211782349 Singh Patel, G. (ed.) 1423211782350 Rai, A. (ed.) 1423211782351 Narayan Das, N. (ed.) 165666 Singh, R.P. (ed.) |
| author_sort |
1423211782349 Singh Patel, G. (ed.) |
| title |
Smart agriculture: emerging pedagogies of deep learning, machine learning and Internet of Things |
| title_short |
Smart agriculture: emerging pedagogies of deep learning, machine learning and Internet of Things |
| title_full |
Smart agriculture: emerging pedagogies of deep learning, machine learning and Internet of Things |
| title_fullStr |
Smart agriculture: emerging pedagogies of deep learning, machine learning and Internet of Things |
| title_full_unstemmed |
Smart agriculture: emerging pedagogies of deep learning, machine learning and Internet of Things |
| title_sort |
smart agriculture: emerging pedagogies of deep learning, machine learning and internet of things |
| publisher |
Boca Raton, FL (USA) CRC Press |
| publishDate |
2021 |
| url |
https://www.taylorfrancis.com/books/smart-agriculture-govind-singh-patel-amrita-rai-nripendra-narayan-das-singh/e/10.1201/b22627 |
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