Application of Rule Based Fuzzy Inference System in Predicting the Quality and Quantity of Potato Crop Yield in Agra
Conservatory growers want steadfast amount of yields so as to precisely meet the demand. Objective of this paper is to apply rule based fuzzy inference system (RBFIS) to forecasting crop yield by using ecological parameters. Inputs to RBFIS are derived from a crop development model (temperature, humidity, water/irrigation, available soil, fertilizers and seed quality). RBFIS has two output nodes, for the quality and the quantity of yield, with potato as a case.
KeywordsCrop yield Fuzzy system Inference Rule based fuzzy system
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