Expert System to Predict the Harvest of Dry Starchy Corn

Peru has been considered a producer of dry starchy corn for many years, thanks to its location in the Andes of South America, the district of Pariahuanca has been one of the communities with the highest production. In recent years, there has been a low production of dry starchy corn, causing economic losses. These changes are due to climatic factors and lack of technical knowledge on the part of farmers. The present work has the objective of analyzing how the expert system helps in the prediction of dry starchy corn harvest, it is analyzed through the study of the conditions present in 5 farms, working with 52 characteristics that describe the behavior of the corn harvest. The results demonstrated the identification of the 52 critical harvest factors, as well as the design and operation of the expert system, through the implementation of a neural network, achieving a sensitivity (73.3%) and specificity (80%). It is concluded that the expert system helps to improve the prediction of the harvest of dry starchy corn, with which farmers can make the best decisions with the suggested recommendations.