Embedded Model for Predicting Quality of Soil

Proceeding of First Doctoral Symposium on Natural Computing ResearchLecture Notes in Networks and Systems(2021)

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Abstract
Soil testing is important due to the fact it helps to decide the fertility of soil and throughout which crop prediction can be done. This fertility of soil helps farmer to a great extent. This device would be a handheld device which gives pH, temperature, moisture, etc., values by which we will get the nutritional content of the soil. With the help of these sensors, it will help the farmers to control the fertility and nutrition. We are the usage of classification set of rules to predict appropriate crops and based on the values, we get from our device and we will also provide appropriate fertilizers required for that land. The values from various sensors would help to suggest the means to grow crops whether organic or inorganic ways.
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Key words
Crop prediction, Fertilizer suggestion, Humidity, IoT, Moisture, Machine learning, NPK, pH meter, Soil fertility, Temperature
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