International Journal of Progressive Research in Engineering Management and Science
(Peer-Reviewed, Open Access, Fully Referred International Journal)

ISSN:2583-1062
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Paper Details

IMPLEMENT SMART FARM WITH IOT TECHNOLOGY (KEY IJP************926)

  • Deepika R,Dhivya N,Kalaiselvi V,Madhu Priya P,Amsaleka R

Abstract

Recent years have seen an increase in the importance of technology in all facets of our lives, including farming, which is greatly influenced by the environment. As a result, new techniques have had to be developed to increase agricultural productivity. Sequential learning is a supervised learning method that makes use of such parameters, but it comes with a number of downsides, including limited sensitivity and uncalculating errors from the input sensors of the source. The rise of information technology (IT) has led to several studies in industry and agriculture with the emergence of the Internet of Things (IoT) and industrialization. We may anticipate agricultural IT development from the automation of agricultural data collection since IoT technology, in particular, can get over the location and distance limitations of wired communication systems employed in existing farms. The system also uses the MQ Telemetry Transport (MQTT) communication mechanism, an IoT- specific protocol, to accomplish the monitoring and control functions, increasing the likelihood that agricultural IoT will emerge. Smart irrigation systems are created using sequential learning neural network algorithms and the Internet of Things to address these shortcomings. Each sensor is examined in depth based on the results of the first stage. Different sensor setups are examined using a sequential learning neural network technique based on an Arduino node MCU. Users have talked about how farmers may utilize IoT technology to help them identify important environmental factors, including temperature, humidity, soil moisture, and water level. When a signal is given through the Arduino controller, a water pump will open and close the flow to control the amount of water that is flowing. A rain cannon sprays water onto the plant's roots, one drop at a time. When the moisture level returns to normal, the sensor recognizes it and signals the controller to turn off the water pump. With the Internet of Things (IoT) and wireless sensor networks (WSNs)high sensor systems and output, smart farming offers opportunities for more precise, networked, and long-lasting agriculture.

DOI LINK : 10.58257/IJPREMS31210 https://www.doi.org/10.58257/IJPREMS31210
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