Information and Communication Technologies for Agriculture—Theme II: Data

Edited by Dionysis D. Bochtis (), Dimitrios E. Moshou (), Giorgos Vasileiadis (), Athanasios Balafoutis () and Panos M. Pardalos ()

in Springer Optimization and Its Applications from Springer, currently edited by Pardalos, Panos, Thai, My T. and Du, Ding-Zhu

Date: 2022
ISBN: 978-3-030-84148-5
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Chapters in this book:

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

Patrick Jackman

Data Fusion and Its Applications in Agriculture

Dimitrios E. Moshou and Xanthoula Eirini Pantazi

Machine Learning Technology and Its Current Implementation in Agriculture

Athanasios Anagnostis, Gabriela Asiminari, Lefteris Benos and Dionysis D. Bochtis

Application Possibilities of IoT-based Management Systems in Agriculture

Mihály Tóth, János Felföldi, László Várallyai and Róbert Szilágyi

Plant Species Detection Using Image Processing and Deep Learning: A Mobile-Based Application

Eleni Mangina, Elizabeth Burke, Ronan Matson, Rossa O’Briain, Joe M. Caffrey and Mohammad Saffari

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

George Georgiou, Petros Karvelis and Christos Gogos

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

Thymios Dimopoulos, Christos Vasilakos and Thanasis Kizos

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

Ignacio Rubio Scola, Sebastián Rossi and Gastón Bourges

Data-Based Agricultural Business Continuity Management Policies

Athanasios Podaras

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

Roberto F. Silva, Angel F. M. Paula, Gustavo M. Mostaço, Anna H. R. Costa and Carlos E. Cugnasca

Use of Unsupervised Machine Learning for Agricultural Supply Chain Data Labeling

Roberto F. Silva, Gustavo M. Mostaço, Fernando Xavier, Antonio M. Saraiva and Carlos E. Cugnasca

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DOI: 10.1007/978-3-030-84148-5

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