|
|
|
Sotirios Kontogiannis, Myrto Konstantinidou, Vasileios Tsioukas and Christos Pikridas
In viticulture, downy mildew is one of the most common diseases that, if not adequately treated, can diminish production yield. However, the uncontrolled use of pesticides to alleviate its occurrence can pose significant risks for farmers, consumers, and...
ver más
|
|
|
|
|
|
|
Sotirios Kontogiannis, Theodosios Gkamas and Christos Pikridas
Maintenance processes are of high importance for industrial plants. They have to be performed regularly and uninterruptedly. To assist maintenance personnel, industrial sensors monitored by distributed control systems observe and collect several machiner...
ver más
|
|
|
|
|
|
|
George Sisias, Myrto Konstantinidou and Sotirios Kontogiannis
Automated deep learning and data mining algorithms can provide accurate detection, frequency patterns, and predictions of dangerous goods passing through motorways and tunnels. This paper presents a post-processing image detection application and a three...
ver más
|
|
|
|
|
|
|
Sotirios Kontogiannis and Christodoulos Asiminidis
Climate change significantly affects viticulture by reducing the production yield and the quality characteristics of its final products. In some observed cases, the consequences of climate outages such as droughts, hail and floods are absolutely devastat...
ver más
|
|
|
|
|
|
|
George Kokkonis, Kostas E. Psannis, Sotirios Kontogiannis, Petros Nicopolitidis, Manos Roumeliotis and Yutaka Ishibashi
|
|
|
|
|
|
|
Sotirios Kontogiannis, George Kokkonis, Soultana Ellinidou and Stavros Valsamidis
Modern irrigation systems utilize sensors and actuators, interconnected together as a single entity. In such entities, A.I. algorithms are implemented, which are responsible for the irrigation process. In this paper, the authors present an irrigation Ope...
ver más
|
|
|
|