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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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Patel, Govind Singh (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Leiden, The Netherlands : CRC Press/Balkema, [2021]
Edición:First edition.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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049 |a UAMI 
245 0 0 |a Smart agriculture :  |b emerging pedagogies of deep learning, machine learning and Internet of Things /  |c edited by Govind Singh Patel, associate editors, Amrita Rai, Nripendra Narayan Das, R.P. Singh. 
250 |a First edition. 
264 1 |a Leiden, The Netherlands :  |b CRC Press/Balkema,  |c [2021] 
300 |a 1 online resource (vi, 211 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references. 
520 |a "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"--  |c Provided by publisher 
588 0 |a Online resource; title from digital title page (viewed on May 04, 2021). 
505 0 |a Machine learning and deep learning in agriculture / Sumit Koul -- Descriptive and predictive analytics of agricultural data using machine learning algorithms / Mrs. R. Suguna, Dr. R. Uma Rani -- Discrimination between weed and crop via image analysis using machine learning algorithm / P Amsin, Dr. R. Ma Rani -- Bio-inspired optimization algorithms for machine learning in agriculture applications / P.R. MahiDar -- Agricultural modernization with forecasting stages and machine learning / A.K. Awasthi and Arun Kumar Garov -- Classification of segmented image using increased global contrast for paddy plant disease / Md Abdul Muqueem, G. Raju and Govind Singh Patel -- IoT in agriculture : Survey on technology, challenges and future scope / Seema Nayak -- Role of IoT in sustainable farming / Rajasekhar Manda and P.Rajesh Kumar -- Smart farming : Crop models and decision support systems using IoT / Kanwaljeet Singh and Amandeep Kaur -- Smart irrigation in farming using internet of things / Devesh Kumar Srivastava and Priyanka Nair -- Automation systems in agriculture via IoT / Shylaja Vinay Kumar Karatangi, Reshu Agarwal and Manisha Pant -- A complete automated solution for farm field and garden nurturing using Internet of Things / S. Siva Kumar, A. M. Senthil Kumar, T. Rajesh Kumar, N. Sree Ram, V. Krishna Reddy and P. Sivakumar -- Machine intelligence techniques for agricultural production : Case study with tomato leaf disease detection / Mihir Narayan Mohanty -- Clock signal and its attribute for agriculture / Abhishek Kumar. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Artificial intelligence  |x Agricultural applications. 
650 0 |a Agricultural innovations. 
650 0 |a Machine learning. 
650 0 |a Internet of things. 
650 0 |a Big data. 
650 6 |a Intelligence artificielle  |x Applications agricoles. 
650 6 |a Agriculture  |x Innovations. 
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650 6 |a Internet des objets. 
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650 7 |a SCIENCE  |x Life Sciences  |x Botany.  |2 bisacsh 
650 7 |a TECHNOLOGY  |x Agriculture  |x General.  |2 bisacsh 
650 7 |a TECHNOLOGY  |x Machinery.  |2 bisacsh 
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650 7 |a Artificial intelligence  |x Agricultural applications  |2 fast  |0 (OCoLC)fst00817248 
650 7 |a Big data  |2 fast  |0 (OCoLC)fst01892965 
650 7 |a Internet of things  |2 fast  |0 (OCoLC)fst01894151 
650 7 |a Machine learning  |2 fast  |0 (OCoLC)fst01004795 
700 1 |a Patel, Govind Singh,  |e editor. 
776 0 8 |i Print version:  |t Smart agriculture.  |b First edition.  |d Boca Raton : CRC Press/Balkema/Taylor & Francis Group, [2021]  |z 9780367535803  |w (DLC) 2020036553 
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