Authors :
R.M.D.M. Bandara; K.R.M.I.L. Rathnayaka
Volume/Issue :
Volume 8 - 2023, Issue 7 - July
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://tinyurl.com/mpu2nvzf
DOI :
https://doi.org/10.5281/zenodo.8252277
Abstract :
Protected culture is a solution for overcoming
conventional agriculture issues and thus for feeding the
rising world population. Hence soilless culture has
become an integral part of the PC, and managing plant
nutrition is important. Therefore, innovative intellective
diagnostic systems for diagnosing nutrient deficiency
symptoms are timely need. Hence this experiment was
conducted to test the effectiveness of “image sensing” as
a diagnostic tool for nitrogen deficiency in a fully
intensive greenhouse located in WM2b (Mid-country
Wet zone), Sri Lanka.This study was conducted to
detect the color variation of tomato plant leaves, variety
‘Sylviana’ to varying nitrogen levels using image sensing
method. In this study, five nitrogen fertilization levels
were established.For
detecting leaf color, leaf images were processed in
“ImageJ software” to determine the green color
intensity. Image analyzing results showed that there was
a significant difference among treatments since the 3 rd.
WAT (weeks after transplanting). The option of “use of
Leaf color chart” for this purpose was found less
effective According to the results, Diagnosis of N
deficiency in tomato leaves could be effectively done with
the use of Image sensing much earlier and effectively.
Using leaf color chart is not much effective and time
consuming. The positive results found with the image
sensing method for the detection of N deficiency of
tomatoes would be used to develop an effective and
efficient method for leaf color-based diagnosis of
nutrient deficiencies in large large-scale cultivations.
Keywords :
Protected Culture, Tomato, Nitrogen Deficiency, Image Analyzing, Color Comparison.
Protected culture is a solution for overcoming
conventional agriculture issues and thus for feeding the
rising world population. Hence soilless culture has
become an integral part of the PC, and managing plant
nutrition is important. Therefore, innovative intellective
diagnostic systems for diagnosing nutrient deficiency
symptoms are timely need. Hence this experiment was
conducted to test the effectiveness of “image sensing” as
a diagnostic tool for nitrogen deficiency in a fully
intensive greenhouse located in WM2b (Mid-country
Wet zone), Sri Lanka.This study was conducted to
detect the color variation of tomato plant leaves, variety
‘Sylviana’ to varying nitrogen levels using image sensing
method. In this study, five nitrogen fertilization levels
were established.For
detecting leaf color, leaf images were processed in
“ImageJ software” to determine the green color
intensity. Image analyzing results showed that there was
a significant difference among treatments since the 3 rd.
WAT (weeks after transplanting). The option of “use of
Leaf color chart” for this purpose was found less
effective According to the results, Diagnosis of N
deficiency in tomato leaves could be effectively done with
the use of Image sensing much earlier and effectively.
Using leaf color chart is not much effective and time
consuming. The positive results found with the image
sensing method for the detection of N deficiency of
tomatoes would be used to develop an effective and
efficient method for leaf color-based diagnosis of
nutrient deficiencies in large large-scale cultivations.
Keywords :
Protected Culture, Tomato, Nitrogen Deficiency, Image Analyzing, Color Comparison.
