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Information and Communication Technologies for Agriculture—Theme II: Data

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Table of Contents

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    Book Overview
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    Chapter 1 You Got Data‥‥ Now What: Building the Right Solution for the Problem
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    Chapter 2 Data Fusion and Its Applications in Agriculture
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    Chapter 3 Machine Learning Technology and Its Current Implementation in Agriculture
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    Chapter 4 Application Possibilities of IoT-based Management Systems in Agriculture
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    Chapter 6 Computer Vision-based Detection and Tracking in the Olive Sorting Pipeline
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    Chapter 7 Integrating Spatial with Qualitative Data to Monitor Land Use Intensity: Evidence from Arable Land – Animal Husbandry Systems
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    Chapter 8 Air drill Seeder Distributor Head Evaluation: A Comparison between Laboratory Tests and Computational Fluid Dynamics Simulations
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    Chapter 9 Data-Based Agricultural Business Continuity Management Policies
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    Chapter 10 Soybean Price Trend Forecast Using Deep Learning Techniques Based on Prices and Text Sentiments
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    Chapter 11 Use of Unsupervised Machine Learning for Agricultural Supply Chain Data Labeling
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Title
Information and Communication Technologies for Agriculture—Theme II: Data
Published by
Springer International Publishing, October 2021
DOI 10.1007/978-3-030-84148-5
ISBNs
978-3-03-084147-8, 978-3-03-084148-5
Editors

Bochtis, Dionysis D., Moshou, Dimitrios E., Vasileiadis, Giorgos, Balafoutis, Athanasios, Pardalos, Panos M.

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