International Journal of Science and Research (IJSR)
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Research Paper | Environmental Science Studies | Egypt | Volume 9 Issue 5, May 2020

LAI-Color Vision and its Application on the Vegetative Crown of the Fruit Trees

Ahmed Yahya Ahmed Hammad ^[2]

Abstract: The current study conducted on field photos of fourteen varieties of fruit trees associated with special cases, the same number is their shadow, such as pale green is unhealthy, for leaves of citrus trees such as [Valencia orange], using LAI-Color Vision as new methodology to measure the Leaf Area Index-LAI and Vegetation Canopies, with helpful of standard metal mesh as a satellite image pixel window on the target, to extract 20 cm2, on the field images, fully charged of fruit trees leaves, then digital processing, for color images and their shadows, under impact of four parameters such as [Mean, Std Dev, Median] and [data pixels] parameters. The study found that the [data pixels] Parameter is specialized to appearance of fruit trees shadow, such as reflection in the mirror for pictures of colorful fruit trees. The results proved the shade of olive trees more light about all the pictures of colorful fruit trees, believing that the olive is miracle in the Holy Quran.

Keywords: LAI-Color Vision, LAI-2200C Plant Canopy Analyzer, vegetative crown, Fruit trees, miracle Holy Quranic, Silhouette, shading, Mean, Std Dev, Median, data pixels, Adobe Photoshop, images

Edition: Volume 9 Issue 5, May 2020,

Pages: 48 - 66

LAI-Color Vision and its Application on the Vegetative Crown of the Fruit Trees

How to Cite this Article?

Ahmed Yahya Ahmed Hammad, "LAI-Color Vision and its Application on the Vegetative Crown of the Fruit Trees", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SR20426121819, Volume 9 Issue 5, May 2020, 48 - 66, #ijsrnet

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