Farm Doctor: Smart App Using Deep Learning Multi Class Model for Crop Disease

Pp: 127-150 (24)

* (Excluding Mailing and Handling)

Abstract

Rice is the staple food crop of a large population spread worldwide, today and in the past. Millions of people are dependent on rice for an active and healthy lifestyle. A smart and sustainable world is a pictograph that will come into reality with an abundance of quality food for humankind. Smart precision agriculture leading to the fulfillment of high-quality food is a challenge for many researchers. In the same series of thoughts, this chapter proposes a Smart App using Deep Learning that helps diagnose the rice crop disease to avoid failure of the crop. This chapter demonstrates an easy to handle, farmer-friendly mobile app, with the help of which farmers can take pictures of crop leaves as soon as some abnormality is observed. The app may then analyse the crop leaf image to predict the probability of suspected disease, which gives the farmer indication of loss and helps them take necessary preventive measures.

Keywords: Convolution Neural Network, Crop Disease Detection, Data augmentation, Deep Learning, Rice, Smart app.

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