Machine learning is developing with technologies of big data and other fast computer devices. In the field of agriculture, machine learning is creating some new opportunities to understand the different types of data processes related to environmental functions. Machine learning can be converted to a scientific formulation which will give the capability to learn without programming of the device. It is used in different areas such as medicines, meteorology, biochemistry, bio-informatics, robotics, economic sciences, climatology and food security.
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