• prasenjit Nath

This study is about the use of Fuzzy Logic Toolbox in MATLAB for developing an expert system which able to give suggestion about nitrogen deficiency diseases of rice plant depending on various symptoms. The proposed expert system uses a collection of fuzzy membership functions and rules, instead of Boolean logic to reason about data. Fuzzy systems can be used for estimating, decision-making as well as mechanical control systems such as air conditioning, automobile control, and even smart houses, industrial process controllers, etc. This proposed expert system would assist farmer to understand soil nutrient disorder so that they can increase the rice production by taking right decision related to utilization of fertilizer. In present day world, expert system is widely used in agriculture. The main concept of Expert system development is to convert the domain knowledge of human expert into computerized form.

Expert system, agriculture, diseases, rice, Fuzzy Logic, MATLAB, BTAD, Nitrogen deficiency.

"Expert system for detecting Nitrogen deficiency in rice plant: Using MATLAB and Fuzzy Logic Toolbox", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.318-325, July-2018, Available :http://www.jetir.org/papers/JETIR1807766.pdf

"Expert system for detecting Nitrogen deficiency in rice plant: Using MATLAB and Fuzzy Logic Toolbox", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp318-325, July-2018, Available at : http://www.jetir.org/papers/JETIR1807766.pdf