Development Of Fuzzy Inference System For Potassium Requirement In Grape Garden

Research Article
Vilas B. More., Kashid D. N and Jadhav B. T
DOI: 
xxx-xxxxx-xxxx
Subject: 
science
KeyWords: 
Potassium, Grapes, Soil, Fuzzy Inference System, Mat Lab.
Abstract: 

The grape is one of the major important fruit crops of the Maharashtra. The high input used crop gives more profit through export as foreign exchange. However, at present, the input in the form of fertilizer for e.g. Potassium, requirement is increasing, so cost also increases. Doses of Potassium are decided by the experts after soil testing. In the present study, the soil samples are collected from different vineyards of the Maharashtra and Karnataka State. In this paper to decide the actual requirement of Potassium, the Fuzzy Information System (FIS) is developed. The laboratory data obtained from the analysis of soil testing report is used as an input to FIS and output results are compared with the results suggested by the expert. It is found that the Potassium requirement suggested by FIS of any grape vineyard is less than the laboratory expert suggestions. Results help to reduce the cost of production without affecting the yield level of the grape vineyard and to maintain the soil quality. Development of Fuzzy Inference System is based on MATLAB Simulation GUI Tool.