Abstract: We propose our genuine research of geometric
moments which detects the mineral inadequacy in the frail groundnut
plant. This plant is prone to many deficiencies as a result of the
variance in the soil nutrients. By analyzing the leaves of the plant, we
detect the visual symptoms that are not recognizable to the naked eyes.
We have collected about 160 samples of leaves from the nearby fields.
The images have been taken by keeping every leaf into a black box to
avoid the external interference. For the first time, it has been possible
to provide the farmer with the stages of deficiencies. This paper has
applied the algorithms successfully to many other plants like Lady-s
finger, Green Bean, Lablab Bean, Chilli and Tomato. But we submit
the results of the groundnut predominantly. The accuracy of our
algorithm and method is almost 93%. This will again pioneer a kind of
green revolution in the field of agriculture and will be a boon to that
field.