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Expert system for corn plant disease diagnosis with the breadth-first search method
Author(s) -
Andi Tenri Sumpala,
Rasmiati Rasyid
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/382/1/012001
Subject(s) - crop , downy mildew , plant disease , agronomy , biology , leaf spot , microbiology and biotechnology
Corn is one of the most important carbohydrate-producing food plants in the world, besides wheat and rice. But farmers often experience crop failures caused by disease attacks on corn plants. Some diseases that interfere with the productivity of maize plants are downy mildew, leaf spot disease, leaf rust disease, dwarf virus disease, midrib rot, stem rot and swollen burns. If the disease in corn plants is not known quickly, then the handling will be too late so that the plant will not develop, stop producing even the corn plants can die. This can lead to reduced yields and also cause crop failure. To overcome this problem, an expert system application for diagnosing maize diseases was made by adopting expert knowledge into the system using the breadth first search method that provides information about plant diseases and can diagnose symptoms of plant diseases, especially corn plants, while providing a solution to overcome them, which can later be used to reduce or reduce the risk of damage plant.

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