Integration Of Machine Learning Techniques in Banana Production: A Literature Review
Description
As a crop cultivated throughout the country, bananas have been an integral crop mainly produced for its economic value. Such production needs an improvement in streamlining the process in order to ensure the profitability of the crop and meeting the demand of the fruit across the world. As an emerging technology, machine learning have been employed in agriculture by assessing different factors brought about by a crop. The significance of classifying bananas in determining crop quality and market value is emphasized in this article. By expanding on earlier research to uncover critical techniques for enhancing banana quality assessment, it highlights the revolutionary influence of machine learning algorithms on this process. Notable gains in speed and precision have resulted from the innovations outlined, setting the stage for significant future expansion. Utilizing machine learning techniques to their fullest potential can aid future studies tackling issues pertaining to food security and sustainable agriculture.
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IJSRED-V7I1P77.pdf
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(250.1 kB)
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