Information and Communication Technologies for Agriculture—Theme II: Data

Chapter 1 You Got Data‥‥ Now What: Building the Right Solution for the Problem

Chapter 2 Data Fusion and Its Applications in Agriculture

Chapter 3 Machine Learning Technology and Its Current Implementation in Agriculture

Chapter 4 Application Possibilities of IoT-based Management Systems in Agriculture

Chapter 6 Computer Vision-based Detection and Tracking in the Olive Sorting Pipeline

Chapter 7 Integrating Spatial with Qualitative Data to Monitor Land Use Intensity: Evidence from Arable Land – Animal Husbandry Systems

Chapter 8 Air drill Seeder Distributor Head Evaluation: A Comparison between Laboratory Tests and Computational Fluid Dynamics Simulations

Chapter 9 Data-Based Agricultural Business Continuity Management Policies

Chapter 10 Soybean Price Trend Forecast Using Deep Learning Techniques Based on Prices and Text Sentiments

Chapter 11 Use of Unsupervised Machine Learning for Agricultural Supply Chain Data Labeling