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קהילה:
אסיף מאגר המחקר החקלאי
פותח על ידי קלירמאש פתרונות בע"מ -
Evaluating water status in potato fields using combined information from RGB and thermal aerial images
Year:
2012
Authors :
אלחנתי, ויקטור
;
.
בריקמן, רומן
;
.
הויאר, ברוריה
;
.
כהן, אביהו
;
.
כהן, יפית
;
.
לוי, אשר
;
.
למקוף, חורחה הוגו
;
.
מרקוביץ, טיבור
;
.
ספרינצין, מיכאל
;
.
רוד, רונית
;
.
Volume :
Co-Authors:

Rosen, C.; Mulla, D.; Nigon, T.; Dar, Z.

Facilitators :
From page:
1
To page:
11
(
Total pages:
11
)
Abstract:

Potato yield and quality are highly dependent on an adequate supply of water. In this study the combined information from RGB and thermal aerial images to evaluate water status in potato fields was examined. Irrigation experiments were conducted on commercial potato fields (Desiree; drippers). In 2011, three water levels (100%, 70%, and 50%) were induced with three replicates and two thermal and RGB aerial images were acquired. Vegetation indices were extracted from the RGB and used for distinguishing vegetation from soil. Canopy temperature was then delineated from the thermal images. Crop water stress index (CWSI) was calculated for each replicate, using various minimum reference temperatures (Twet) and the empirical evaluation of maximum reference (Tdry; Tair+50C). Statistical tests and comparison with stomatal conductance measurements were made to evaluate the differences between water levels while employing the various CWSI values. CWSI effectiveness in identification of water status is discussed.

Note:
Related Files :
CWSI
irrigation
potato
remote sensing
Thermography
עוד תגיות
תוכן קשור
More details
DOI :
Article number:
0
Affiliations:
Database:
גוגל סקולר
Publication Type:
מאמר מתוך כינוס
;
.
Language:
אנגלית
Editors' remarks:
ID:
36623
Last updated date:
02/03/2022 17:27
Creation date:
14/08/2018 12:11
Scientific Publication
Evaluating water status in potato fields using combined information from RGB and thermal aerial images

Rosen, C.; Mulla, D.; Nigon, T.; Dar, Z.

Evaluating water status in potato fields using combined information from RGB and thermal aerial images

Potato yield and quality are highly dependent on an adequate supply of water. In this study the combined information from RGB and thermal aerial images to evaluate water status in potato fields was examined. Irrigation experiments were conducted on commercial potato fields (Desiree; drippers). In 2011, three water levels (100%, 70%, and 50%) were induced with three replicates and two thermal and RGB aerial images were acquired. Vegetation indices were extracted from the RGB and used for distinguishing vegetation from soil. Canopy temperature was then delineated from the thermal images. Crop water stress index (CWSI) was calculated for each replicate, using various minimum reference temperatures (Twet) and the empirical evaluation of maximum reference (Tdry; Tair+50C). Statistical tests and comparison with stomatal conductance measurements were made to evaluate the differences between water levels while employing the various CWSI values. CWSI effectiveness in identification of water status is discussed.

Scientific Publication
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