International Journal of Embedded Systems and Emerging Technologies

Innovative Approach for Sugarcane Plantation

  1. Abhiram sanjay patil
  2. Shripad Bhatlavande

Abstract

Sugarcane planting with traditional methods is costly, time consuming, it needs great human force,more numbers of sugarcane stalk. Also because of unskilled labor stressed or diseased bud may getplanted. To solve this problem we designed algorithm for atomization of sugarcane planting machineusing image processing. It detects the nodes efficiently and locates the cut point for stalk cutting. Itreject to cut the stalk if sugarcane suffered by Stress or disease like Pokkehha Boeng, Red Rot. In thisresearch paper we are using the Sobel and horizontal mask for edge detection for node identificationand vertical mask for to identify the crack on the stalk if any. The success ratof normal nodeidentification in sugarcane stalk by mentioned algorithm is 100% and the defective node identificationis 93.3%.

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