Literature Review on Artificial Intelligence Implementation in the Honduran Agricultural Sector

Nowadays, many sectors have been faced with the need to achieve technological and automated processes, to keep up with the new trends and remain competitive. This study describes the beginnings of artificial intelligence (AI), its concept, branches, and applications. A general context is given about the different agricultural sectors in which the focus is on, in this case, the coffee, banana, oil palm, and cocoa sectors. The research was done on the diverse applications of AI in different countries and how it helped improve the processes of these sectors. To achieve this, an average of fifteen articles were taken into consideration for each sector investigated, to have a wide variety of information that will be able to validate the veracity of implementations. It was also possible to determine which countries have applied most of these technologies in their processes. As a result, Malaysia, a country in Southeast Asia, is the one that predominates the AI studies applied to agricultural sectors. In addition, the reasons why AI has not been applied to a large extent in the agricultural sectors in Honduras and the main reasons why this process has advanced relatively gradually are also investigated.