Response of sunflower to irrigation, boron spraying and plant density under new valley conditions (Record no. 39545)

MARC details
000 -LEADER
fixed length control field 02538cab a2200313Ia 45 0
001 - CONTROL NUMBER
control field u183898
003 - CONTROL NUMBER IDENTIFIER
control field SIRSI
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100804s2007 ua ss b eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EAL
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
Language code of summary or abstract ara
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) ART AASM V45 No4 8
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Salem, E. M. M.
240 10 - UNIFORM TITLE
Uniform title Annals of agricultural science, Moshtohor, 2007 v.45 (4)
Medium [electronic resource].
245 10 - TITLE STATEMENT
Title Response of sunflower to irrigation, boron spraying and plant density under new valley conditions
Medium [electronic resource].
246 15 - VARYING FORM OF TITLE
Title proper/short title استجابة دوار الشمس للرى والرش بالبورون والكثافة النباتية تحت ظروف الوادى الجديد.
300 ## - PHYSICAL DESCRIPTION
Extent p.1363-1380
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes reference.
520 ## - SUMMARY, ETC.
Summary, etc. This research aimed at overcoming some of the limitations encountered in the COUISe of plant leaf shape analysis studies. Mathematical morphology of plant leaf venatiou was exploited as a shape analysis technique for plant identification purposes. Leaf shape features were extracted from preprocessed leaf color images using a pre-selected set of twenty structuring elements to generate a distinctive leaf signature for individual plants. Prototype leaf signatures were produced from a training set for three plants, namely: Alfalfa (Medicago Sativa), Mint (Mentha Piperita), and Pomegranate (Punica GranatumI) to calculate decision functions for developing a Minimum Distance Classifier. Four factors that could influence the performance of the classifier were considered in forming a testing set of 162 leaf color images. The four factors considered were: plant type, leaf orientation angle, leaf size, aod leaf occlusion ratio. The classifier effectively handled the testing set by correctly designating leaves to the plants to which they belong. A perfect performance was achieved in identifying the three plants with correct classification rates of 100%, 96.3%, aod 100% for Alfalfa, Mint, and Pomegranate, respectively. Key words: Precision agriculture, Shape analysis, Leaf venation, Morphological features, Template matching, Leaf signature, Plant identification.
546 ## - LANGUAGE NOTE
Language note Summary in Arabic.
596 ## -
-- 1
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Sunflowers
General subdivision Spacing
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Sunflowers
General subdivision Irrigation.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Boron in plant nutrition.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hamed, M. F.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Salem, M. O.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Saudy, H. S.
773 0# - HOST ITEM ENTRY
Title Annals of Agricultural Science, Moshtohor.
Related parts 2007.v.45(4)
International Standard Serial Number 1110-0419
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://nile.enal.sci.eg/EALE/2007/AASM/4507/4/1363.pdf">http://nile.enal.sci.eg/EALE/2007/AASM/4507/4/1363.pdf</a>
Public note Full Text Article
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Articles
Source of classification or shelving scheme Library of Congress Classification

No items available.


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