| dc.creator | Tagarakis, A. | en |
| dc.creator | Liakos, V. | en |
| dc.creator | Fountas, S. | en |
| dc.creator | Koundouras, S. | en |
| dc.creator | Aggelopoulou, K. | en |
| dc.creator | Gemtos, T. | en |
| dc.date.accessioned | 2015-11-23T10:49:19Z | |
| dc.date.available | 2015-11-23T10:49:19Z | |
| dc.date.issued | 2011 | |
| dc.identifier.isbn | 9788090483057 | |
| dc.identifier.uri | http://hdl.handle.net/11615/33524 | |
| dc.description.abstract | This paper presents the results of applying precision agriculture in a 1 ha commercial vineyard in Greece in 2009 and 2010. A field elevation map was produced using RTK-GPS. Soil electrical conductivity was measured using EM-38 sensor. Crop Circle sensor was used to measure canopy properties during the growth period. Yield and grape quality (sugar content) mapping was carried out at harvest. Yield and ECa showed high spatial variability. Management zones for the measured parameters were defined using the MZA software. For all measured parameters, two and three zones were delineated. Comparison between the zone maps for the measured parameters showed that high percentage of pixels belonged to the same zones. This could be the basis for successful management zone delineation and subsequent improved vineyard management. | en |
| dc.source.uri | http://www.scopus.com/inward/record.url?eid=2-s2.0-84872598863&partnerID=40&md5=abf57081de33bfa332ab61ec0fb17753 | |
| dc.subject | NDVI | en |
| dc.subject | Precision viticulture | en |
| dc.subject | Agriculture | en |
| dc.subject | Fuzzy clustering techniques | en |
| dc.subject | Precision Agriculture | en |
| dc.subject | Soil electrical conductivity | en |
| dc.subject | Spatial variability | en |
| dc.subject | Successful management | en |
| dc.subject | Vineyard management | en |
| dc.subject | Fuzzy clustering | en |
| dc.title | Management zones delineation using fuzzy clustering techniques in vines | en |
| dc.type | conferenceItem | en |
