Machine Learning for Price Prediction for Agricultural Products

Family farms play a role in economic development. Limited terms of land, water and capital resources, family farming is essentially characterized by its use labour. must choose which agricultural products to produce; however, they do not have the necessary tools for optimizing their decisions. Knowing will best prices at harvest important farmers. At this point, machine learning technology has been used solve classification prediction problems, such as price prediction. This work aims review literature area related seeks identify research paradigms employed, type used, most commonly algorithms techniques evaluation, these predictions. The results show that mostly paradigm positivism, quantitative longitudinal nature neural networks are algorithms.