Abstract
This paper presents a new machine vision based technique for self-navigation of agricultural mobile robots in the agriculture field. The proposed method for staunch detection of incessant crop rows based on mask region based enhanced self-navigation technique. It utilizes a camera module to self-navigate this mobile robot in a structured agricultural field by following incessant crop rows. First, a camera was fixed in the proper location of the mobile robot to obtain optimized navigation orientation. Second, enhanced image processing techniques were utilized to acquire optimized navigation base lines. Finally, an optimized navigation base line was extracted from the mask region based enhanced self-navigation technique. This self-navigation technique was utilized to perform operations like spraying water, fertilizing, weeding etc. The proposed technique requires 160ms to detect the masked area of crop rows. Experimented results shows, this technique can instantly and preciously find the incessant crop rows even under various light conditions.
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