Estimating Avocado Sales Using Machine Learning Algorithms and Weather Data

Autor: Juan Rincon-Patino, Juan Carlos Corrales, Emmanuel Lasso
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Multivariate statistics
Geography
Planning and Development
TJ807-830
02 engineering and technology
Management
Monitoring
Policy and Law
Machine learning
computer.software_genre
TD194-195
Renewable energy sources
Linear regression
0202 electrical engineering
electronic engineering
information engineering
Hass
GE1-350
Mathematics
regression model
Environmental effects of industries and plants
Renewable Energy
Sustainability and the Environment
business.industry
Regression analysis
04 agricultural and veterinary sciences
mobile application
Regression
avocado
Support vector machine
Environmental sciences
machine learning
Agriculture
Multilayer perceptron
weather
040103 agronomy & agriculture
0401 agriculture
forestry
and fisheries
020201 artificial intelligence & image processing
Artificial intelligence
business
computer
Algorithm
Zdroj: Sustainability, Vol 10, Iss 10, p 3498 (2018)
Sustainability
Volume 10
Issue 10
ISSN: 2071-1050
Popis: Persea americana, commonly known as avocado, is becoming increasingly important in global agriculture. There are dozens of avocado varieties, but more than 85% of the avocados harvested and sold in the world are of the Hass one. Furthermore, information on the market of agricultural products is valuable for decision-making
this has made researchers try to determine the behavior of the avocado market, based on data that might affect it one way or another. In this paper, a machine learning approach for estimating the number of units sold monthly and the total sales of Hass avocados in several cities in the United States, using weather data and historical sales records, is presented. For that purpose, four algorithms were evaluated: Linear Regression, Multilayer Perceptron, Support Vector Machine for Regression and Multivariate Regression Prediction Model. 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. Using the Multivariate Regression Prediction Model, an application that allows avocado producers and sellers to plan sales through the estimation of the profits in dollars and the number of avocados that could be sold in the United States was created.
Databáze: OpenAIRE
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