ABSTRACT

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.

摘要

水稻作物是印度特别是印度南部的主要栽培作物之一。肥料对于实现最高的水稻产量起着重要的作用。每种作物都需要足够的肥料才能生长。化肥的不足和过量会导致营养缺乏和农作物减产。水稻根据气候条件和土壤类型有独特的肥料建议，但问题是农民在不了解自己土地土壤营养的情况下随机使用肥料。土壤由主要养分和次要养分组成。该补充剂用于作物生长。本文讨论了拟议的针对Cuddalore和Salem区及其次稻粉和水稻和玉米作物的肥料模拟模型的优化方法。在这项研究工作中，之所以使用模糊逻辑技术，是因为这是解决问题的最佳方法之一。在这种模糊逻辑中，使用了基于Mamdani模糊逻辑的工具。Mamdani模糊逻辑工具用于根据土壤中存在的矿物质来建议所需的肥料。结果，总共创建了45条规则，以推荐用于水稻和玉米作物的肥料。