Smart Agriculture System Using IOT & Machine Learning
Author(s):
Yogesh Uttam Tekawade, Himmat Bapurao Mutekar, Ayush Shahaji Shinde, Swapnali Uttam Gawade, Siddhi Vijay Ghadge
Keywords:
Random Forest, Android Studio, Anaconda Navigator, Jupyter Notebook, Arduino IDE.
Abstract
Smart agriculture is an emerging concept, because IOT sensors are capable of providing information about agriculture fields and then act upon based on the user input. The development of Smart Agriculture System using IOT & ML helps not only increasing the quality of farming but also saves the lots of time of farmers. In Our system this will be accomplish with the use of Soil moisture, NPK and Flame detection sensors. The motive of this project to prevent accidents and overcome the traditional way of farming, also helps the farmer to avoid infections from fertilizer. In Our system soil moisture sensor checks the moisture of soil if water level of soil is less motor will get on automatically and when water level reaches to required level motor will get off automatically. NPK sensor collects the Nitrogen, Phosphorus and Potassium from soil and machine learning model and model will suggest the crops, fertilizers required to soil according to soil NPK values. Flame detection sensor, if detects fire in farm and water pump will get on automatically. Roof structure pipeline will be created in farm through which water will get sprinkled to extinguish the fire also this pipeline is used to sprayer the pesticides and fertilizers.
Article Details
Unique Paper ID: 164899

Publication Volume & Issue: Volume 10, Issue 12

Page(s): 2160 - 2165
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