Android Application on E-commerce & Plant Disease Identification using Tensor Flow


Authors : Shrikant S. Gurav; Snehal A. Patil; Shubhangi L. Patil; Priti P. Desai; Prajakta B. Badkar

Volume/Issue : Volume 7 - 2022, Issue 6 - June

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3yw3OQ2

DOI : https://doi.org/10.5281/zenodo.6808989

In this Digitized world farmers can do day-today operations using online means such as buy and sell of saplings. The Modern world can connect back to the motherland using PlantIP app which helps farmers to digitize themself and form a community. To identify and detect plant diseases, which are a major factor in the loss of crop yield in agriculture and crop production, we employ a powerful ML library provided by Google. The project uses live weather forecast for a week with updated GPS tracks using satellite data from Openweathermap. Parts of the distributed run-time system for the plant disease detector are arranged to execute on user-side mobile devices and cloud-side centralized servers. The CNN deep learning model and the Intermediate Representation (IR) model that operate on mobile devices are both described in Layer 1 of the system. The user interface is depicted in Layer 2 and created as an Android app to make it easy for system users (shown in Layer 3) to engage with the system.

Keywords : Image processing, image acquisition, classification, segmentation.

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