Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{164899,
        author = {Yogesh Uttam Tekawade and Himmat Bapurao Mutekar and Ayush Shahaji Shinde and Swapnali Uttam Gawade and Siddhi Vijay Ghadge},
        title = {Smart Agriculture System Using IOT & Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {2160-2165},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164899},
        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.},
        keywords = {Random Forest, Android Studio, Anaconda Navigator, Jupyter Notebook, Arduino IDE.},
        month = {},
        }