IOT BASED SOIL TESTING.
Journal Title: International Journal of Advanced Research (IJAR) - Year 2018, Vol 6, Issue 11
Abstract
Soil Analysis has become an essential factor for effective cultivation. There are many existing methodologies for soil testing. Earlier soil testing was done in laboratories and research centers which took a lot of time and effort to achieve results. In today?s world, with advancements in technology and digitization, it has become possible to do soil testing using various portable sensors. With the help of IoT is has become possible to connect the sensors to the internet. We intend to use these sensors with IoT for performing soil testing anywhere and anytime. The existing methodologies test various parameters like moisture, respiration, bulk density, color texture, pH, temperature, etc. Testing various parameters will be costly. Thus, the aim of this project is to provide soil testing and analysis at the lowest possible cost. Analyzing a few parameters also provide the same result of analysis. Thus, we use affordable yet efficient sensors for testing soil parameters like pH, moisture, humidity and temperature. Performing analysis is the main challenge that will be addressed in this project. The existing systems used platform dependent system or hardware dependent system. Some testing methods used platforms like Losant, etc. to display result in form of graphical representation and then transferred readings via SMS. Some systems used hardware like Bluetooth or Zigbee to transfer results to the users mobile which when connected to internet uploaded the readings to the server and then gave analysis on the readings. This project intends to proceed by using Raspberry Pi which will enable sensor readings to be uploaded on the cloud. The system will the send the suitable crop list to the user?s mobile via SMS. On comparing results of the research papers and our expected output, we concluded that in our project, we need to collect the feedback from the users after certain period of time so that we can validate our predictions.
Authors and Affiliations
Hridesh Shah, Dhruv Shah, Jeet Shah, Akshat Shah, Krupal Vora.
Keywords
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- EP ID EP424133
- DOI 10.21474/IJAR01/8083
- Views 82
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International Journal of Advanced Research (IJAR)