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Home > Archives > Volume 20, No 8 (2022) > Article

DOI: 10.14704/nq.2022.20.8.NQ44872

A Review of Indian Soils and Detection of Key featuresof Fruits production using K-Means Clustering

Meenakshi, Deepa Bura

Abstract

India has a diverse climatic conditions with a variety of crop production such as rice, wheat, fruits, vegetation and cotton. Different landforms and climatic realm leads to development of huge variety of soil types. The depth of the soil varies from region to region.Indian Agricultural Research Institute has classified Indian soil into 27 types which are further broadly categorized into 12 categories. However, in the past no such research is available where a detailed study is presented on different soil type of India. Research paper presents a detailed survey on Indian Soil types and its features which are suited for various crops type. In addition to this paper gives a brief survey on fruit production in India and itsfeatures set. Two different types of parameters are considered for the detection of features of fruit production (1) Internal parameter for Soil (2) External parameter such as Rainfall,humidity and Temperature. Based on these parameters, research paper evaluates the optimum values of these parameter fit for maximum growth of fruit production. KMeans Clustering is used to find the ideal value of these features for five fruits such as Banana, Mango, Grapes, Apple, Orange with an accuracy of 94.6

Keywords

Indian Soil; Soil Nutrients; K-means clustering; Fruit production

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