• A fuzzy inference system to model grape quality in vineyards 

      Tagarakis, A.; Koundouras, S.; Papageorgiou, E. I.; Dikopoulou, Z.; Fountas, S.; Gemtos, T. A. (2014)
      Fuzzy inference systems (FIS) are particularly suited for aggregating multiple data to feed multi-variables decision support systems. Moreover, grape quality is a complex concept that refers to the simultaneous achievement ...
    • Management zones delineation using fuzzy clustering techniques in grapevines 

      Tagarakis, A.; Liakos, V.; Fountas, S.; Koundouras, S.; Gemtos, T. A. (2013)
      Precision viticulture aims at managing vineyards at a sub-field scale according to the real needs of each part of the field. The current study focused on delineating management zones using fuzzy clustering techniques and ...
    • Management zones delineation using fuzzy clustering techniques in vines 

      Tagarakis, A.; Liakos, V.; Fountas, S.; Koundouras, S.; Aggelopoulou, K.; Gemtos, T. (2011)
      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 ...
    • Using laser scanner to map pruning wood in vineyards 

      Tagarakis, A.; Liakos, V.; Chatzinikos, T.; Koundouras, S.; Fountas, S.; Gemtos, T. (2013)
      Management zones in vineyards may be delineated by examining the spatial variability of various biophysical factors related to grapevine performance, such as vegetation indices. Among measurements of vine vigour, the ...