Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Theocharis Moysiadis"'
Autor:
Maria Teresa Linaza, Jorge Posada, Jürgen Bund, Peter Eisert, Marco Quartulli, Jürgen Döllner, Alain Pagani, Igor G. Olaizola, Andre Barriguinha, Theocharis Moysiadis, Laurent Lucat
Publikováno v:
Agronomy, Vol 11, Iss 6, p 1227 (2021)
One of the main challenges for the implementation of artificial intelligence (AI) in agriculture includes the low replicability and the corresponding difficulty in systematic data gathering, as no two fields are exactly alike. Therefore, the comparis
Externí odkaz:
https://doaj.org/article/eac071940c964e14890490ad219cfb3f
Autor:
Theocharis Moysiadis, Konstantina Spanaki, Ayalew Kassahun, Sabine Kläser, Nicolas Becker, George Alexiou, Nikolaos Zotos, Iliada Karali
Publikováno v:
Benchmarking
Benchmarking (2022)
Benchmarking (2022)
PurposeTraceability of food is of paramount importance to the increasingly sustainability-conscious consumers. Several tracking and tracing systems have been developed in the AgriFood sector in order to prove to the consumers the origins and processi
Autor:
Ioannis Daliakopoulos, Ioannis Louloudakis, Dimitrios Papadimitriou, Michalis Sabathianakis, Ioannis Christoforakis, Theofilos Matsoukas, Nikolaos Zotos, Theocharis Moysiadis, Konstantinos Anastasopoulos, Ioannis Mavrogiannis, Thrassyvoulos Manios
Population rise and economic growth put additional pressure on global water resources, especially in the Mediterranean Island states that have a long history of aridity and water management challenges. In Crete, Greece, 81.2% of total water consumpti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56ee2df6442ed43ce54807a480878893
https://doi.org/10.5194/egusphere-egu22-13049
https://doi.org/10.5194/egusphere-egu22-13049
Autor:
Andre Barriguinha, Jorge Posada, Theocharis Moysiadis, Peter Eisert, Jürgen Bund, Marco Quartulli, Jürgen Döllner, Igor G. Olaizola, Alain Pagani, Laurent Lucat, Maria Teresa Linaza
Publikováno v:
Agronomy
Volume 11
Issue 6
Agronomy, Vol 11, Iss 1227, p 1227 (2021)
Volume 11
Issue 6
Agronomy, Vol 11, Iss 1227, p 1227 (2021)
One of the main challenges for the implementation of artificial intelligence (AI) in agriculture includes the low replicability and the corresponding difficulty in systematic data gathering, as no two fields are exactly alike. Therefore, the comparis
Autor:
Charisios Achillas, George Adamides, George Alexiou, Konstantinos G. Arvanitis, Georgios F. Banias, Josef Bauerdick, Heinz Bernhardt, Dionysis Bochtis, Maurizio Canavari, Giacomo Carli, Reinhard Dietrich, Gil-Un Eom, Athanasios Fragkos, Lorenz Frech, Márta Gaál, Marianthi Giannakopoulou, Anja Gräff, Omar Hijazi, Martin Höhendinger, Manfred Höld, Ivett Illés, Dimitrios Kateris, Gábor Kemény, Shlomi Kfir, Andrea Kiss, Christina Kleisiari, Konstantinos N. Kontogiannopoulos, Tamás Kovács, Hans Jürgen Krieg, Leonidas-Sotirios Kyrgiakos, Ibolya Lámfalusi, Maria Lampridi, Doheon Lee, Dimitrios Loukatos, Róbert Magda, Vasso Marinoudi, Marco Medici, Sonja Mettenleiter, András Molnár, Junghoon Moon, Theocharis Moysiadis, Amos Naor, Spyros Niavis, Yeowoon Park, Sotiris I. Patsios, Simon Pearson, Latsch Roy, Stark Ruedi, Yael Salzer, Claus G. Sørensen, Jörn Stumpenhausen, Andreas Stylianou, Róbert Szilágyi, Sándor Szlovák, Maria Rita Tagliaventi, Judit Tóth, Maximilian Treiber, László Várallyai, George Vlontzos, Yehoshua Yechezkely, Eyal Yonai, Aesol Yuk, Shimon Zait, Nikolaos Zotos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5170f17e74ef6e7679c3f21e8b5d99af
https://doi.org/10.1016/b978-0-12-819774-5.01002-x
https://doi.org/10.1016/b978-0-12-819774-5.01002-x
Autor:
Nikolaos Zotos, Theocharis Moysiadis, George Alexiou, Andreas Stylianou, George Adamides, Marianthi Giannakopoulou
Publikováno v:
Bio-Economy and Agri-production
Smart farming based on Internet of Things (IoT) technologies enables crop farmers to collect real-time data related to irrigation and plant protection processes, aiming to increase production volume and improve product quality, predict diseases, whil