An Algorithm Based on the RGB Colour Model to Estimate Plant Chlorophyll and Nitrogen Contents

International Association of Computer Science & Information Technology Press
Publication Type:
Conference Proceeding
2013 International Conference on Sustainable Environment and Agriculture, 2013, pp. 52 - 56
Issue Date:
Full metadata record
Leaf colour gives a good indication of chlorophyll (Ch) and nitrogen (N)status in plants. In this paper we developed a new, easy to use and non-destructive diagnostic approach to detect plantCh and N levels using an image processing technique developed using the RGB (Red, Green and Blue) colour model. The experiment was conducted on tomato (Tommy Toy) in field with three N treatments (0, 60 and 140 kg N / ha), where leaf images were collected using a handheld scanner. The new algorithm achieves superior correlation with the value of Ch and N, measured in laboratory, compared with the existing non-destructive methods of SPAD 502 and Dark green Colour Index (DGCI ).
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