Konstantinos Kiropoulos
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Konstantinos Kiropoulos has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Anna Triantafyllou
Department of Electrical and Computer Engineering, University of Western Macedonia, Kozani, Greece
1 shared publication - Dimosthenis C. Tsouros
Department of Computer Science KU Leuven Leuven Belgium
1 shared publication - Foteini Dimaraki
Department of Electrical and Computer Engineering, University of Western Macedonia, 50100 Kozani, Greece
1 shared publication - Panagiotis Sarigiannidis
Department of Electrical and Computer Engineering, University of Western Macedonia, 50131 Kozani, Greece
1 shared publication - Pantelis Angelidis
University of Western Macedonia
1 shared publication - Stamatia Bibi
University of Western Macedonia, Kozani, Greece
1 shared publication
Latest Publications
- Open Access
Monitoring Saffron Crops with UAVs
The use of information technology in agriculture has brought significant benefits to producers, such as increased profits and better product quality. Modern technology applications in agriculture rely on the use of unmanned aerial vehicles (UAVs) and wireless ground sensors to provide real-time information about fields and crops. In Europe, these techniques, referred to as Smart Farming (SF), are still in their infancy despite the large agricultural production of a wide range of products. For this reason, in this study, we experimented with the technologies of SF in the cultivation of Greek saffron, a rare spice with many uses. For this reason, and also because its harvest is quite labor intensive, it is one of the most expensive spices. Since the field of SF is relatively new and has not yet been used for this particular crop and area, the equipment and methods of data processing were selected experimentally after a review of the literature. The aim of the study was to remotely acquire image data of the crops and train a machine learning model to detect important objects such as saffron flowers and weeds.
Open AccessMonitoring Saffron Crops with UAVs
The use of information technology in agriculture has brought significant benefits to producers, such as increased profits and better product quality. Modern technology applications in agriculture rely on the use of unmanned aerial vehicles (UAVs) and wireless ground sensors to provide real-time information about fields and crops. In Europe, these techniques, referred to as Smart Farming (SF), are still in their infancy despite the large agricultural production of a wide range of products. For this reason, in this study, we experimented with the technologies of SF in the cultivation of Greek saffron, a rare spice with many uses. For this reason, and also because its harvest is quite labor intensive, it is one of the most expensive spices. Since the field of SF is relatively new and has not yet been used for this particular crop and area, the equipment and methods of data processing were selected experimentally after a review of the literature. The aim of the study was to remotely acquire image data of the crops and train a machine learning model to detect important objects such as saffron flowers and weeds.