Estimating Avocado Sales Using Machine Learning Algorithms and Weather Data
Estimating Avocado Sales Using Machine Learning Algorithms and Weather Data is a scholarly work, published in 2018 in ''Sustainability''. The main subjects of the publication include Bayesian multivariate linear regression, regression, mathematics, artificial intelligence, Vitis vinifera, computer science, agriculture, artificial neural network, algorithm, linear regression, multilayer perceptron, support vector machine, regression analysis, machine learning, fruit ripening, perceptron, Persea, and multivariate statistics. The last two showed the best accuracy, with a correlation coefficient of 0.995 and 0.996, and a Relative Absolute Error of 7.971 and 7.812, respectively.