Proficient Smart Soil based IoT System for Crop Prediction

IoT plays a vital role in everyday life of a human being. It is almost used in every domains. Every year crops growth is reduced due to lack of climatic conditions and inadequate of nutrients supports. Soil fertility is the most important factor to be considered while growing a crop. The measurement...

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Bibliographic Details
Published in2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA) pp. 752 - 757
Main Authors Pravallika, G Sai, Kundana, L., Thanvi, K. Sri, Sirisha, G., Rupa, Ch
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2020
Subjects
Agriculture
Crop prediction
Humidity
Moisture
Sensor systems
Soil
soil fertility
temperature and humidity
Temperature sensors
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Summary:IoT plays a vital role in everyday life of a human being. It is almost used in every domains. Every year crops growth is reduced due to lack of climatic conditions and inadequate of nutrients supports. Soil fertility is the most important factor to be considered while growing a crop. The measurement of Soil nutrients is required for a better plant growth. All soils are not suitable for all types of crops. In this work, the proposed mechanism is to effectively predict the crop which is suitable to that soil. Conventional soli testing process uses chemicals to test the soil fertility and it is a time taken process. This issue has been resolved by proposing a mechanism that monitors by taking all the parameters into account that can predict the crop by depending upon the pH, moisture, temperature and humidity values. The main objective of this work is that it produces accurate and reliable results and also cost-effective when compared to other existing mechanisms. It helps the farmer to analyze the fertility of their field and plant the better crop to increase their productivity and profit.
DOI:10.1109/ICIRCA48905.2020.9183054