Abstract
Many tasks in smart agriculture have further requirements for the autonomous navigation of agricultural robots. Due to irreplaceable visual information and low-cost hardware costs, machine vision (MV) is widely used in agricultural robot navigation. This paper reviewed applications of MV in agricultural robot navigation. First, the advantages, disadvantages and roles of different vision sensors and MV algorithms in agricultural robot navigation were introduced. And then, the development status of MV in agricultural robot navigation was reviewed. Finally, the challenges of MV in agricultural robot navigation were discussed. To address these challenges, this paper looks forward to the development directions of future research.
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