Abstract
Plant disease mechanization in the agricultural discipline is a major source
of concern for every country, since the world's population continues to grow at an
alarming rate, increasing the need for food. However, due to a scarcity of necessary
infrastructure in various parts of the world, it is difficult to identify them quickly in
some areas. In the context of the expanded use of technology, it is now feasible to
assess the efficiency and accuracy of methods for identifying illnesses in plants and
animals. It has recently been discovered that information technology-based tools,
technologies, and applications are effective and realistic measures for the improvement
of the whole agricultural field, spanning from scientific research to farmer assistance.
The integration of expert systems as a strong tool for stakeholders in agricultural
production has enormous promise, and it is now being explored. The suggested effort
begins with the collection of disease symptoms and environmental factors by
agriculture specialists and plant pathologists, who will then analyze the information
gathered. The corrective solution is then recommended to the end user by an expert
system, which is accessed through a mobile application. Computer application
consisting of an expertise base, inference engine, and a user interface is envisaged as
the machine of the future. Integrated inside the gadget is a structured expertise base that
contains information on the signs and treatments of various ailments. In order to
identify and diagnose plant disorders, the machine must first locate and diagnose the
condition. It is accomplished by the analysis of the symptoms of illness on the crop's
surface. On the basis of the yield and the surrounding environment, this symptom is
utilized to identify the illness and give an entirely unique diagnostic solution. The
computer will test the plants and their disordered lives inside the database and provide
a set of diagnostic levels in accordance with the condition that the plants are suffering
from, according to the database. Farmers may easily identify and manipulate plant
diseases with the help of the suggested technology, which is supported by a
sophisticated expert system.