A Comparison of the Leaf Colour Chart Approach Versus the Image Sensing Method using Varied Nitrogen Levels in Tomato Plants Grown in Sri Lankan Tropical Greenhouses

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

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.


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30 - November - 2023

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