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Utilizing Machine Learning Techniques, Predict the Price of Onions

C. Suresh Kumar, P. Karunakar Reddy, K. Mastan Rao, K. Narayana Rao, P. Adilakshmi

Abstract


To the extent that monetary errands, speeds of onion are the crucial effects. Surprising worth differences are symptoms of market weakness. Artificial intelligence today offers enormous instruments for expecting values to combat market sluggishness this essay will concentrate on in on the simulated intelligence (ML) strategy to onion demand assumption. The information is used to complete the plan. Got from the Cultivation Administration from India. For assumption, we made use of ML models.For instance. Support Vector Machine (SVM), Flighty Forests, Clueless Bayes, and Game-plan Tree (CT), Affiliation Psyche (NN). Then, at that point, we endeavored and overviewed our ways to deal with sort out which procedure gives the best accuracy sufficiency. We notice direct result in the absolute of our strategies. We endeavor to Using the aforementioned frameworks, determine the optimum (low), reasonable (mid), and expensive (high) onion expenses. Catchphrases — Value Vacillations, Irregular Choice Timberland, Onion Value Forecast, AI


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References


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