Open Access Journal of Agricultural Research (OAJAR)

ISSN: 2474-8846

Opinion

Data Mining in Mexican Agriculture

Authors: Negrete JC*

DOI: 10.23880/oajar-16000237

Abstract

Food production currently in Mexico is insufficient to feed the growing population, being dependent on the importation of food so there is food insecurity, which leads to the exploration of all kinds of modern techniques to increase productivity of agriculture and livestock in the country how the application of automation and mechatronics, and other modern technologies such as neural networks, Artificial vision , and internet of things , being so data mining can also help increase the productivity of food production. At present, the pressure in food production is increasing in the world due to the constant increase of the population, this is no stranger to our country, so any technology that helps the above must be considered, the use of some authors in this regard and it becomes clear that in Mexico the application of innovative technologies does not find an echo as in the rest of the world, which must end and the opposite must be done.

Keywords: Data Mining; Mechatronics; Automation; Precision Agriculture; Mexico

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