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Technologies and Innovation

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Cover of 'Technologies and Innovation'

Table of Contents

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    Book Overview
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    Chapter 1 Pest Recognition Using Natural Language Processing
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    Chapter 2 Comparison Between Two Deep Learning Models for Temperature Prediction at Guayaquil
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    Chapter 3 Prototype of an Embedded System for Irrigation and Fertilization in Greenhouses
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    Chapter 4 Control and Monitoring System for Edaphoclimatic Variables in Rice Cultivation: Case Study
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    Chapter 5 Prediction of the Yield Per Hectare of the Crop of Chili Pepper (Capsicumchinense), by Means of a Simulation Model with GIS. A Case Study in Santo Domingo - San Jacinto Del Bua
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    Chapter 6 A Brief Review of Big Data in the Agriculture Domain
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    Chapter 7 Mining Twitter for Measuring Social Perception Towards Diabetes and Obesity in Central America
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    Chapter 8 Automatic Spelling Detection and Correction in the Medical Domain: A Systematic Literature Review
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    Chapter 9 CyberDect. A Novel Approach for Cyberbullying Detection on Twitter
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    Chapter 10 A Byte Pattern Based Method for File Compression
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    Chapter 11 PESSHIoT: Smart Platform for Monitoring and Controlling Smart Home Devices and Sensors
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    Chapter 12 Modern Code Applied in Stencil in Edge Detection of an Image for Architecture Intel Xeon Phi KNL
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    Chapter 13 OPTYFY: Industrial IoT-Based Performance and Production Optimization Based on Semantics
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    Chapter 14 SEDIT: Semantic Digital Twin Based on Industrial IoT Data Management and Knowledge Graphs
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Title
Technologies and Innovation
Published by
Springer International Publishing, January 2020
DOI 10.1007/978-3-030-34989-9
ISBNs
978-3-03-034988-2, 978-3-03-034989-9
Editors

Valencia-García, Rafael, Alcaraz-Mármol, Gema, Del Cioppo-Morstadt, Javier, Vera-Lucio, Néstor, Bucaram-Leverone, Martha

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 100%
Student > Master 1 100%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 100%
Engineering 1 100%