Details

Kakovost plodov jablane (Malus domestica Borkh.) sorte 'Jonagold de Costa' pri različnih obremenitvah : diplomsko delo
ID Kovačič, Natalija (Author), ID Hudina, Metka (Mentor) More about this mentor... This link opens in a new window

.pdfPDF - Presentation file, Download (524,51 KB)
MD5: 8F0AF04D5C352E928F8B22173D30EC0B

Language:Slovenian
Keywords:sadjarstvo, jablana, Malus domestica Borkh., plodovi, kakovost, pridelek, redčenje plodov, ročno redčenje
Work type:Undergraduate thesis
Typology:2.11 - Undergraduate Thesis
Organization:BF - Biotechnical Faculty
Place of publishing:Ljubljana
Publisher:[N. Kovačič]
Year:2010 - 2012
Number of pages:X, 34 f.
PID:20.500.12556/RUL-115793 This link opens in a new window
UDC:634.11:631.542.27:631.559(043.2)
COBISS.SI-ID:6984825 This link opens in a new window
Publication date in RUL:27.04.2020
Views:2640
Downloads:157
Metadata:XML DC-XML DC-RDF
:
KOVAČIČ, Natalija, 2010–2012, Kakovost plodov jablane (Malus domestica Borkh.) sorte “Jonagold de Costa” pri različnih obremenitvah : diplomsko delo [online]. Bachelor’s thesis. Ljubljana : N. Kovačič. [Accessed 10 April 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=115793
Copy citation
Share:Bookmark and Share

Secondary language

Language:English
Title:Fruit quality of apple (Malus domestica Borkh.) cultivar 'Jonagold de Costa' at different crop load
Keywords:fruit-culture, apple tree, fruits, quality, yields, thinning, hand thinning

Similar documents

Similar works from RUL:
  1. DEEP LEARNING METHODS FOR BIOMETRIC RECOGNITION BASED ON EYE INFORMATION
  2. Part of speech tagging of slovene language using deep neural networks
  3. Automatic classification of buildings with deep learning
  4. Object detection and classification in aquatic environment using convolutional neural networks
  5. Superposition and compression of deep neutral networks
Similar works from other Slovenian collections:
  1. Time series classification based on convolutional neural networks
  2. The preparation of photos' dataset and its classification using deep neural networks
  3. Prediction of geospatial raster data using convolutional neural networks
  4. Development of an advanced system for lane detection on GPU platforms
  5. Comparison of different deep neural network learning algorithms in autonomous driving

Back