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Agriculture is only one of many different fields that have recently shown a substantial amount of interest in the rapidly developing subject of disruptive technologies. The yield and efficiency of conventional agricultural crop production cycles may be improved by the application of computer vision & ML. The field of precision agriculture is showing a significant amount of enthusiasm for cutting-edge sensing, processing, and learning technologies that are made available by information and communications technologies (ICTs). In this, we give a thorough analysis of the application of computer vision & ML in agriculture. In numerous studies, a variety of machine learning & computer vision techniques are used to improve crop output in agriculture. In this paper, we review various previous studies enhancing crop yield in agriculture by using computer vision & machine learning. The concepts of ML & computer vision are …