Optimised fertiliser suggestion in smart agriculture system based on fuzzy inference rule
2021
Nithiya, S. | Annapurani, K.
Rice crop is one of the major cultivating crops in India, especially in south India. Fertiliser plays an important role to achieve the highest rice yield. Each crop needs an adequate amount of fertiliser for its growth. Inadequate and overdose of fertiliser leads to nutrient deficiency and lesser yield of crops. Rice has a unique fertiliser recommendation based on climatic conditions and soil types but the issue is the random use of fertilisers by the farmer, without knowing their own land soil nutrition. Soil consists of primary nutrients and secondary nutrients. This supplement is used for crop growth. This paper discusses a proposed methodology of an optimised fertiliser simulation model for Cuddalore and Salem district and its sub talukas for rice and maize crops. In this research work, the fuzzy logic technique is used because this is one of the best ways for problem-solving techniques. In this fuzzy logic, Mamdani fuzzy logic-based tool is used. The Mamdani fuzzy logic tool is used for the suggestion of the fertilisers required according to the minerals present in their soil. In result total 45 rules are created for recommending the fertiliser use for paddy and maize crops.
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