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Iot Based Smart Farming with Plant Disease Detection Using CNN

Pritam Mondal, Satya Rajput, Samrudhi Shrotri, Shreyasi Phadtare

Abstract


In this project, we have discussed the utilization of the power of contemporary technology like sensors and cloud
computing. IoT-based smart farming is revolutionizing traditional agricultural practices. Additionally, this project enables farmers
to manage their farms remotely. This project's primary goal is to support an existing farmer and a new farmer who wants to start
farming as their side income source through remote farming. Farmers can monitor numerous environmental elements including
temperature, humidity, soil moisture levels, and tank water levels in real time with the use of IoT devices. They can also control
the fertilization process and pests’ control remotely. They can monitor their crops using a robot, they can get live video footage on
their device. Users can take photographs from the video footage provided by the robot and can upload those photos on the web
page to get information about the crop’s diseases. It will help the farmer maximize agricultural yield, lower waste, and boost
profitability. Additionally, smart farming systems give farmers useful knowledge about crop development and disease prevention,
empowering them to make data-driven decisions and take preventative action to avoid crop losses. IoT-based smart farming
systems may also be remotely accessed and managed via smartphones and other connected devices, giving farmers the flexibility
to manage their operations whenever and wherever they choose.


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DOI: https://doi.org/10.37628/ijaic.v9i1.1882

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