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Information and Communication Technologies for Agriculture—Theme I: Sensors

Edited by Dionysis D. Bochtis (), Maria Lampridi (), George P. Petropoulos (), Yiannis Ampatzidis () and Panos Pardalos ()

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

Date: 2022
ISBN: 978-3-030-84144-7
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Chapters in this book:

Emerging Sensing Technologies for Precision Agriculture
Sri Kakarla, Yiannis Ampatzidis, Seonho Park, George Adosoglou and Panos Pardalos
Soil Reflectance Spectroscopy for Supporting Sustainable Development Goals
Theodora Angelopoulou
Proximal Sensing Sensors for Monitoring Crop Growth
Lea Hallik, Egidijus Šarauskis, Marius Kazlauskas, Indrė Bručienė, Gintautas Mozgeris, Dainius Steponavičius and Toomas Tõrra
Experimental Performance Evaluation Techniques of LoRa Radio Modules and Exploitation for Agricultural Use
Dimitrios Loukatos, Athanasios Fragkos and Konstantinos G. Arvanitis
Evaluating the Performance of a Simulated Softwarized Agricultural Wireless Sensor Network
José Olimpio R. Batista, Gustavo M. Mostaço, Roberto F. Silva, Graça Bressan, Carlos E. Cugnasca and Moacyr Martucci
Smart Agriculture: A Low-Cost Wireless Sensor Network Approach
Ioannis Angelis, Alexandros Zervopoulos, Aikaterini Georgia Alvanou, Spiridon Vergis, Asterios Papamichail, Konstantinos Bezas, Andreana Stylidou, Athanasios Tsipis, Vasileios Komianos, Georgios Tsoumanis, George Koufoudakis and Konstantinos Oikonomou
Potential of Sentinel-2 Satellite and Novel Proximal Sensor Data Fusion for Agricultural Applications
Miloš Pandžić, Aristotelis C. Tagarakis, Vasa Radonić, Oskar Marko, Goran Kitić, Marko Panić, Nataša Ljubičić and Vladimir Crnojević
Trends in Satellite Sensors and Image Time Series Processing Methods for Crop Phenology Monitoring
Luca Pipia, Santiago Belda, Belen Franch and Jochem Verrelst
Drone Imagery in Support of Orchards Trees Vegetation Assessment Based on Spectral Indices and Deep Learning
Ionuț Șandric, Radu Irimia, George P. Petropoulos, Dimitrios Stateras, Dionissios Kalivas and Alin Pleșoianu
What Does the NDVI Really Tell Us About Crops? Insight from Proximal Spectral Field Sensors
Jon Atherton, Chao Zhang, Jaakko Oivukkamäki, Liisa Kulmala, Shan Xu, Teemu Hakala, Eija Honkavaara, Alasdair MacArthur and Albert Porcar-Castell
Geophysical Sensors for Mapping Soil Layers – A Comparative Case Study Using Different Electrical and Electromagnetic Sensors
Erika Lück, Julien Guillemoteau, Jens Tronicke, Jana Klose and Benjamin Trost
Geoinformation Technologies in Pest Management: Mapping Olive Fruit Fly Population in Olive Trees
Androniki Papafilippaki, George Stavroulakis and George P. Petropoulos
In-field Experiments for Performance Evaluation of a New Low-Cost Active Multispectral Crop Sensor
Aristotelis C. Tagarakis, Marko Kostić, Natasa Ljubičić, Bojana Ivošević, Goran Kitić and Miloš Pandžić

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Persistent link: https://EconPapers.repec.org/RePEc:spr:spopap:978-3-030-84144-7

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DOI: 10.1007/978-3-030-84144-7

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