TY - JFULL AU - Sumeet S. Nisale and Chandan J. Bharambe and Vidya N.More PY - 2011/11/ TI - Detection and Analysis of Deficiencies in Groundnut Plant using Geometric Moments T2 - International Journal of Agricultural and Biosystems Engineering SP - 607 EP - 612 VL - 5 SN - 1307-6892 UR - https://publications.waset.org/pdf/11356 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 58, 2011 N2 - 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. ER -