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Using IoT and Machine Learning to Classify Soil and Recommend Crops

Jayshree M

Abstract


Soil is the most crucial component of agriculture, which is an important part of the economy. There are a few sorts of soil. Each sort of soil has its own elements and qualities which make them best for specific harvest. The colored images of the soil samples are obtained and processed using a variety of algorithms. These created calculations are utilized to extricate various highlights like tone, surface, and so forth. Different soil types like red, dark, earth, alluvial, laterite, etc. This project aims to categorize soils according to their characteristics and recommend the most productive crop for that soil. Work currently soil grouping and order of harvest for the suitable soil is done independently. The goal of this project is to combine the two approaches. The undertaking utilizes IoT and AI calculation to execute the issue expressed.


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