Sistema experto para el diagn\'ostico de enfermedades y plagas en los cultivos del arroz, tabaco, tomate, pimiento, ma\'iz, pepino y frijol

TL;DR

This paper presents an expert system developed in SWI-Prolog for diagnosing diseases and pests in various crops, providing quick and reliable support for farmers when expert advice is unavailable.

Contribution

It introduces a novel expert system tailored for multiple crops, utilizing production rules in Prolog to improve agricultural pest and disease diagnosis.

Findings

Fast and reliable crop diagnosis

Supports multiple crops including rice, tobacco, and vegetables

Enhances decision-making for farmers

Abstract

Agricultural production has become a complex business that requires the accumulation and integration of knowledge, in addition to information from many different sources. To remain competitive, the modern farmer often relies on agricultural specialists and advisors who provide them with information for decision making in their crops. But unfortunately, the help of the agricultural specialist is not always available when the farmer needs it. To alleviate this problem, expert systems have become a powerful instrument that has great potential within agriculture. This paper presents an Expert System for the diagnosis of diseases and pests in rice, tobacco, tomato, pepper, corn, cucumber and bean crops. For the development of this Expert System, SWI-Prolog was used to create the knowledge base, so it works with predicates and allows the system to be based on production rules. This system allows a fast and reliable diagnosis of pests and diseases that affect these crops.