Digital Image Processing Approach for Determination of Leaf Area of Field Crops

Priyabrata Santra; Shekh Mukthar Mansuri; Bajrang Lal Dhaka; Hans Raj Mahla

doi:10.56093/aaz.v59i3 & 4.109653

Authors

Priyabrata Santra ICAR-Central Arid Zone Research Institute, Jodhpur 342 003, India
Shekh Mukthar Mansuri ICAR-Central Arid Zone Research Institute, Jodhpur 342 003, India
Bajrang Lal Dhaka ICAR-Central Arid Zone Research Institute, Jodhpur 342 003, India
Hans Raj Mahla ICAR-Central Arid Zone Research Institute, Jodhpur 342 003, India

https://doi.org/10.56093/aaz.v59i3%20&%204.109653

Abstract

A digital image processing method has been developed to estimate the leaf area of clusterbean using commonly available printer-cum-scanner in a desktop computer. In this method, leaves were collected from the field and scanned in the laboratory over a transparent sheet placed on the top glass cover of the scanner bed. Further, the scanned image was processed through a programing code to compute the leaf area. A comparison of digital method with grid method revealed that the leaf area was slightly lower in grid method than in digital method because in the digital method minute details of leaf area could be accommodated whereas in grid method it was not. The digital method could be more suitable for crops with small leaves where the grid method is tedious. In future, smart phone based android application may be developed to capture the photographs of the leaves in the field and analysed subsequently to obtain the area. The quick assessment of leaf area using digital method may aid in timely management of water and nutrients in the field.
Key words: Leaf area index, digital image processing, grid method, clusterbean.

Downloads

Download data is not yet available.

References

Adami, M., Hastenreiter, F.A., Flumignan, D.L. and Faria, R.T.D. 2008. Estimativa de Ã¡rea de folÃolos de soja usando imagens digitais e dimensÃµes foliares. Bragantia 67(4): 1053-1058.

Carvalho, J.O., Toebe, M., Tartaglia, F.L., Bandeira, C.T. and Tambara, A.L. 2017. Leaf area estimation from linear measurements in different ages of Crotalaria juncea plants. Anais da Academia Brasileira de CiÃªncias 89(3): 1851-1868.

Gamiely, S., Randle, W.M., Mills, H.A. and Smittle, D.A. 1991. A rapid and nondestructive method for estimating leaf area of onions. Hort Science 26(2): 206-206.

Godoy, L.J.G.D., Yanagiwara, R.S., BÃ´as, V., Lyra, R., Backes, C. and Lima, C.P.D. 2007. AnÃ¡lise da imagem digital para estimativa da Ã¡rea foliar em plantas de laranjaâ€ PÃªraâ€. Revista Brasileira de Fruticultura 29(3): 420-424.

Igathinathane, C., Prakash, V.S.S., Padma, U., Babu, G.R. and Womac, A.R. 2006. Interactive

Fig. 6. Leaf area index of clusterbean crop grown at Jodhpur, Rajasthan during kharif season of 2019.

SANTRA et al.

computer software development for leaf area measurement. Computers and Electronics in Agriculture 51(1-2): 1-16.

Mohsenin, N.N. 1986. Physical properties of plant and animal materials. Gordon and Break, NY, 891 p.

Raper, C.D., Smith, W.T. and York, E.K. 1974. Geometry of tobacco leaves: Effect on estimation of leaf area. Tobacco Science 18: 11-14.

Sestak, Z., CatskÃ½, J. and Jarvis, P.G. 1971. Plant photosynthetic production. Manual of methods. Plant photosynthetic production. Manual of methods. Springer, Netherlands, 819 p.

Suggs, C.W., Beeman, J.F. and Splinter, W.E. 1960. Physical properties of green Virginia-type tobacco leaves. Part III. Relation of leaf length and width to area. Tobacco Science 4: 194-197.

Printed in