PREDICTION OF LEAF DISEASE UTILISING INTERNET OF THINGS
Authors: Ashok Kumar Koshariya , ALAGUMEENA S, VIJAYA SRI KOMPALLI, ARUNA.S, PRASHANT GOVINDRAO AHERAHER AND FILZA FAROOQ RUNGA

ABSTRACT
The internet of things is a system made up of actuators, sensor systems, both of which enable indirectly / directly internet access. Advances in the Internet of things could be utilized in smart farming to improve agricultural quality. Farming, which is the Indian economy's backbone, contributes to a country's overall growth. However, owing to the usage of antiquated agricultural technology, our production is quite low in comparison to the world average, & individuals from rural areas now are migrating to metropolitan areas for other profitable companies, so they are unable to concentrate on farming. Agriculture has always been innovative, but the Internet of Things is poised to take smart farming to the next stage. An Internet of Things system comprises actuator/sensors, or even both, that enable indirect or direct internet access. This study offers capabilities such as leaf disease detection, the server-based remote surveillance system, temperature & humidity sensing, & soil moisture detecting, among others. Rather than a manual inspection, it uses networks of the sensor to assess wetness, heat, & humidity. Different sensors were put at different agricultural areas; to manage all of these sensors, a single controller is known as the Raspberry PI has indeed been employed. Leaf illness can be identified using a camera and Raspberry Pi. The current state of a field, such as a leaf disease, as well as other environmental elements impacting the crop, such as humidity, heat, & wetness, are sent to the farmers via WIFI Server & Raspberry PI. The research of internet of things approaches is presented in this research to engross the usage of technologies in agriculture. Keywords: Leaf deficiency, IoT, Smart Agriculture, Humidity control, Soil monitoring.
Publication date: 01/11/2021
    https://ijbpas.com/pdf/2021/November/MS_IJBPAS_2021_NOV_SPCL1047.pdf
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https://doi.org/10.31032/IJBPAS/2021/10.11.1047