ISSN (Online) : 2456 - 0774

Email : ijasret@gmail.com

ISSN (Online) 2456 - 0774


AN EFFECTIVE MACHINE LEARNING TECHNIQUE FOR CROP YIELD PREDICTION 

Abstract

Abstract: - Machine Minerals can be hard to predict since they contain many minerals, water, organic matter, and untold animals that are fragments of once-living objects that break down. All types of plants may be grown in the media used to hold the soil particles in place. We may state with confidence that soil is an essential in agriculture. The types of soil vary considerably. This means that some can have a different characteristics that fit single-crop growers while others can support a multitude of various types of different crops. it is important that we know which type of soil our soil is well in order to use it. Use of Machine learning techniques to determine the types of soil and determine what crops can grow well.Keywords: - Series, Land type, Chemical feature, Geographical attribute, Machine learning, KNN, SVM, 

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