Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Christos Karydas"'
Autor:
Miltiadis Iatrou, Miltiadis Tziouvalekas, Alexandros Tsitouras, Elefterios Evangelou, Christos Noulas, Dimitrios Vlachostergios, Vassilis Aschonitis, George Arampatzis, Irene Metaxa, Christos Karydas, Panagiotis Tziachris
Publikováno v:
Agriculture, Vol 14, Iss 4, p 549 (2024)
Storm ‘Daniel’ caused the most severe flood phenomenon that Greece has ever experienced, with thousands of hectares of farmland submerged for days. This led to sediment deposition in the inundated areas, which significantly altered the chemical p
Externí odkaz:
https://doaj.org/article/0920727e79904f9e9da769e240010c9f
Autor:
Christos Karydas, Myrto Chatziantoniou, Kostas Stamkopoulos, Miltiadis Iatrou, Vangelis Vassiliadis, Spiros Mourelatos
Publikováno v:
Smart Agricultural Technology, Vol 4, Iss , Pp 100175- (2023)
Today, bridging precision agriculture (PA) with farm management is a high priority. To respond to this challenge, a precision fertilization service for extended crops, namely ‘PreFer’ (developed by 'Ecodevelopment' enterprise), was embedded as a
Externí odkaz:
https://doaj.org/article/1f9ccf50d35c43378b4ba5a85c448948
Autor:
Christos Karydas, Myrto Chatziantoniou, Ourania Tremma, Alexandros Milios, Kostas Stamkopoulos, Vangelis Vassiliadis, Spiros Mourelatos
Publikováno v:
Applied Sciences, Vol 13, Iss 17, p 9640 (2023)
Profitability is not given the necessary attention in contemporary precision agriculture. In this work, a new tool, namely ProFit, is developed within a pre-existing farm management system, namely ifarma, to assess the profitability of precision agri
Externí odkaz:
https://doaj.org/article/553faca705b749caaa6de22b8eec9a60
Publikováno v:
Remote Sensing, Vol 14, Iss 23, p 5978 (2022)
The scope of this research was to provide rice growers with optimal N-rate recommendations through precision agriculture applications. To achieve this goal, a prediction rice yield model was constructed, based on soil data, remote sensing data (optic
Externí odkaz:
https://doaj.org/article/960255b3a49c4611b787feb6269bc2b6
Autor:
Miltiadis Iatrou, Christos Karydas, George Iatrou, Ioannis Pitsiorlas, Vassilis Aschonitis, Iason Raptis, Stelios Mpetas, Kostas Kravvas, Spiros Mourelatos
Publikováno v:
Agriculture, Vol 11, Iss 4, p 312 (2021)
This research is an outcome of the R&D activities of Ecodevelopment S.A. (steadily supported by the Hellenic Agricultural Organization—Demeter) towards offering precision farming services to rice growers. Within this framework, a new methodology fo
Externí odkaz:
https://doaj.org/article/8d0dee4694e14b9eb992113f516fc1f3
Autor:
Christos Karydas, Bin Jiang
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 11, p 631 (2020)
A new method for selecting optimal scales when mapping topographic or hydrographic features is introduced. The method employs rank-size partition of heavy-tailed distributions to detect nodes of rescaling invariance in the underlying hierarchy of the
Externí odkaz:
https://doaj.org/article/e66e8ca545864a7caddfcf15dbef7017
Publikováno v:
Remote Sensing, Vol 12, Iss 16, p 2604 (2020)
The objective of this research is to assess the potential of satellite imagery in detecting soil heterogeneity, with a focus on site-specific fertilization in rice. The basic hypothesis is that spectral variation would express soil fertility variatio
Externí odkaz:
https://doaj.org/article/e12c88e962034d6793f007801cd9313c
Autor:
Christos Karydas, Miltiadis Iatrou, Dimitrios Kouretas, Anastasia Patouna, George Iatrou, Nikolaos Lazos, Sandra Gewehr, Xanthi Tseni, Fotis Tekos, Zois Zartaloudis, Evangelos Mainos, Spiros Mourelatos
Publikováno v:
Antioxidants, Vol 9, Iss 2, p 156 (2020)
In this research, a model for the estimation of antioxidant content in cherry fruits from multispectral imagery acquired from drones was developed, based on machine learning methods. For two consecutive cultivation years, the trees were sampled on di
Externí odkaz:
https://doaj.org/article/50dd8b542b3240ee80511a6b09562118
Autor:
Christos Karydas, Panos Panagos
Publikováno v:
Water, Vol 12, Iss 2, p 603 (2020)
Gully erosion may cause considerable soil losses and produce large volumes of sediment. The aim of this study was to perform a preliminary assessment on the presence of ephemeral gullies in Greece by sampling representative cultivated fields in 100 s
Externí odkaz:
https://doaj.org/article/10b537b8c8514013b40cbe051f9b8c2d
Publikováno v:
Geosciences, Vol 10, Iss 3, p 89 (2020)
This study aims at mapping soil erosion caused by water in the Candelaro river basin, Apulia region, Italy, using the G2 erosion model. The G2 model can provide erosion maps and statistical figures at month-time intervals, by applying non data-demand
Externí odkaz:
https://doaj.org/article/d4283b9d2ab145e39983a3c3f1045b24