Analysis of IoT based Crop Field Monitoring and Leaf Nutrients

Authors: V C Agilan, S Rajasoundaran

DOI: https://doi.org/10.17605/OSF.IO/H63N8

Short DOI: https://doi.org/ggrtbn

Country: India

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Abstract: using internet connection. IOT plays a major role in agriculture industry. Crop monitoring and Irrigation automation plays a vital role in the growth of agriculture. In this paper we are going to develop a system that monitors the crop using sensors and automate the irrigation system with the help of internet of things. The data collected from the sensors are stored in a database for periodical monitoring and notification will be send to the farmer or owner when the water level goes down below the brink. Three methods of Irrigation are applied according to the needs they are Drip irrigation (water dropped periodically to the root of plants), Pot irrigation (Holes are made into the pitchers to keep the soil moist) and Evapotranspiration (Moisture from the earth is transferred to the atmosphere) .It is easy to adapt in all fields and it is inexpensive. The analysis of leaf disease is done by using machine learning algorithms.

Keywords: IoT, Machine Learning, Agriculture, Crop monitoring, leaf

Paper Id: 550

Published On: 2019-05-08

Published In: Volume 7, Issue 3, May-June 2019

Cite This: Analysis of IoT based Crop Field Monitoring and Leaf Nutrients - V C Agilan, S Rajasoundaran - IJIRMPS Volume 7, Issue 3, May-June 2019. DOI 10.17605/OSF.IO/H63N8

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