Digital image analysis has been an important tool in biological research and also has been applied to satellite images, aerial photographs as well as macroscopic images (Nilsson,

1995) . The imaging method has been proposed to infer plant biomass accurately as a non­destructive and fast alternative to the conventional means of determining shoot dry weight. The approach predominantly cited in literature is the estimation of plant biomass as a linear function of the projected shoot area of plants using RGB images.

A relevant application of image analysis which has been used for decades is in the area of remote sensing forestry and precision agriculture in which the area of plant species cover and the biomass of the above-ground canopy are estimated from satellite and airborne images (Montes et al, 2000; Lamb and Brown, 2001).

These techniques have found a recent application in estimating the biomass of individual plants in a controlled environment and also in the field. There have been only a few reports on the application of image analysis techniques to estimate above-ground biomass of an individual plant. In these reports, the projected shoot area of the plants captured on two dimensional images was used as a parameter to predict the plant biomass (Tackenberg, 2007; Sher-Kaul et al, 1995; Paruelo et al, 2000).