Open AccessFuzzy Logic Based Alert on Cochliobolus Miyabeanus to Control the Rice Crop Loss
Author(s) -
Dekka Satish,
K Narasimha Raju,
B K Satish,
K. Suresh,
Dasari Manendra Sai
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.c6511.029320
Subject(s) - fungus , leaf spot , agriculture , rice plant , plant disease , yield (engineering) , blast disease , crop , fuzzy logic , agronomy , biology , agricultural engineering , microbiology and biotechnology , computer science , engineering , botany , artificial intelligence , ecology , biochemistry , materials science , gene , metallurgy
Agriculture is a source of living in many areas and acts a backbone for the Indian economy. Agriculture crops are affected by fungus and bacteria to cause diseases in the plant. Brown spot is a serious hazard that takes place on leaves of the rice plant. The presence of fungus ‘Cochliobolus miyabeanus’ is the main factor for brown spot disease. The severity of the disease depends on growth of the fungus. The development of fungus depends on several factors such as temperature, humidity and rainfall. Whenever the disease occurs on a plant, level of the infection plays an importance in crop yield. Most of the farmer follow books or use their experience to detect the disease in rice plants which is a time-consuming process and requires lot of attention to produce more rice yield is a challenging task. Fuzzy logic is identified as powerful tool for disease detection. In this paper, fuzzy logic system is proposed to determine the level of presence of Cochliobolus miyabeanus and alert the farmer to take the primitive steps.