Spatial Variation in Blooming and Yield in an Apple Orchard, in Romania

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The aim of this study was to analyse the spatial variation of blooming, yield and quality parameters, in an apple orchard, by using precision agriculture tools. This study is a preliminary step in order to create management zones, to take the management decisions and made the evaluation of the applied practices. The study was conducted in the Research and Development Station for Pomology Voinesti, Dambovita, on the 0.9 ha orchard. The orchard consists in Florina apple trees and Generos pollinator. The surface was mapped with GPS and the yield of each tree was manually harvested and weighed. Apple quality was evaluated in terms of: firmness, soluble solid content, juice pH. Also, in spring was determined the number of flowers/tree and the exact period of flowering. The interpolated maps were created using Surfer 8 software and the correlations between yield and quality have been established; some quality characteristics are negatively correlated with yield, like firmness.

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  • [1] Acevedo-Opazo C Tisseyre B Guillaume S Ojeda H (2007) Test of NDVI information for a relevant vineyard zoning related to vine water status. 6th European Conference on Precision Agriculture Skiathos Greece p. 547-554

  • [2] Aggelopoulou KD Bochtis D Fountas S Swain KC Gemtos TA Nanos GD (2011) Yield prediction in apple orchards based on image processing. Precision Agric 12 p. 448-456. doi:

    • Crossref
    • Export Citation
  • [3] Aggelopoulou KD Wulfsohn D Fountas S Gemtos TA Nanos GD Blackmore S (2010) Spatial variation in yield and quality in a small apple orchard. Precision agriculture Vol. 11 Issue 5 p.538-556. doi:

    • Crossref
    • Export Citation
  • [4] Alchanatis V Safren O Levi O Ostrovsky V (2007) Apple yield imaging using hyperspectral machine vision. 6th European Conference on Precision Agriculture Skiathos Greece p. 555-562

  • [5] Annamalai P Lee WS (2003) Citrus yield mapping system using machine vision. ASAE paper number 031002.

  • [6] Balastreire LA Schueller JK Amaral JR Leal JCG Baio FHR (2002) Coffee Yield Mapping. ASAE Paper No 021166. St. Joseph Michigan. ASAE

  • [7] Blidaru Sinziana Georgescu Andreea (2003) The dynamics of physical parameters in the fruit of Prunus cerasifera Ehrh. byotipes- Analele Facultăţii de Horticultură Timişoara Seria a VII-a- Editura AGROPRINT ISSN 1453 - 1402

  • [8] Chinchuluun R Lee WS Ehsani R (2007) Citrus yield mapping system on a canopy shake and catch harvester. ASAE Annual Meeting 073050

  • [9] Geovariances (2008) Structure identification in the intrinsic case. In Isatis technical reference Release 8 (pp. 9 - 51). Avon France: Geovariances.

  • [10] Kim Y Reid J (2004) Apple yield mapping using a multispectral imaging sensor. International Scientific Conference on Agricultural Engineering (AgEng) Leuven Belgium

  • [11] Lopez-Granados F Jurado-Exposito M Alamo S Garcia- Torres L (2004) Leaf nutrient spatial variability and sitespecific fertilization maps within olive (Olea europaea L.) orchards. European Journal Agronomy 21: 209-222

  • [12] Marcotte D David M (1988) Trend surface analysis as a special case of IRF-k kriging. Mathematical Geology 20 821-824.

  • [13] Miller WM Whitney JD (1999) Evaluation of weighing systems for citrus yield monitoring. Applied Engineering in Agriculture 15(6): 609-614

  • [14] Molin J.P Mascarin LS Povh FP Amaral JR Oliveira AS (2007) Proceedings of the 6th European Conference on Precision Agriculture Skiathos Greece. Poster Abstracts in CD

  • [15] Morarita Sinziana Venera (2007) The influence of climatic factors of different years on some biotypes of Prunus cerasifera Ehrh - Universitatea Lucian Blaga din Sibiu - Conferinţa Internaţională- Agriculture and food industry within the context of European integration ISSN 1843-0694

  • [16] Okamoto H Lee WS Kane K (2007) Hyperspectral imaging for green citrus detection. Proceedings of the 6th European Conference on Precision Agriculture Skiathos Greece. Poster Abstracts in CD

  • [17] Ortega RA Esser A Santibanez O (2003) Spatial variability of wine grape yield and quality in Chilean vineyards: economic and environmental impacts. 4th European Conference on Precision Agriculture Berlin Germany p. 499-506

  • [18] Queiroz DM Alves EA Pinto FAC (2007) Spatial and Temporal Variability of Coffee Quality. ASABE Paper N. 071141

  • [19] Safren O (2006) Green apple yield mapping using hyperspectral machine vision. M.Sc Thesis Ben-Guiron University of Negev Faculty of Engineering Sciences Department of Industria Engineering and Management Israel

  • [20] Sakai K Noguchi Y Asada S (2008) Detecting chaos in a citrus orchard: Reconstruction of nonlinear dynamics from very short ecological time series. Chaos Solitons & Fractals 38 1274-1282.

  • [21] Schumann AW Zaman QU (2003) Mapping water table depth by electromagnetic induction. Applied Engineering in Agriculture 19(6): 675-688

  • [22] Stajnko D Lakota M Hoevar M (2004) Estimation of number and diameter of apple fruits in an orchard during the growing season by thermal imaging. Computers and Electronics in Agriculture 42: 31-42.

  • [23] Stamatiadis S Taskos D Tsadila E Christofides C Tsadilas C Schepers JS (2007) Proximal remote sensing. Technological advances and application in vineyards. 6th European Conference on Precision Agriculture Skiathos Greece Poster abstracts in CD

  • [24] Tagarakis A Chatzinikos A Fountas S Gemtos TA (2006) Deliniation of management zones in precision viticulture. HAICTA 2006 Conference Volos Greece p.547-554

  • [25] Taylor J Tisseyre B Bramley R Reid A (2005) A comparison of the spatial variability of vineyard yield in European and Australian product systems. 5th European Conference on Precision Agriculture Uppsala Sweden p. 907-914

  • [26] Teodorescu G (2009) Improvement of fruit quality using the precision horticulture in Romania. VIII International Symposium Frutic Chile

  • [27] Tisseyere B Mazzoni C Ardoin N Clipet C (2001) Yield and harvest quality measurement in precision viticultureapplication for a selective vintage 3rd European Conference on Precision Agriculture Montpellier France p. 133-138

  • [28] Whitney JD Ling Q Miller WM Adair Wheaton T (2001) A DGPS yield monitoring system for Florida citrus. Applied Engineering in Agriculture 17(2): 115-119

  • [29] Xujun Y Sakai K Manago M Asada S Sasao A (2007) Prediction of citrus yield from airborn hyperspectral imagery. Precision Agriculture 8(3):111-125

  • [30] Zaman Q Schuman WA Hostler HK (2006) Estimation of citrus fruit yield using ultrasonically-sensed tree size. Applied Engineering in Agriculture 22(1): 39-43.

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