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Efficient plant leaf disease identification Material Fabrication using lightweight device

2021; Elsevier BV; Volume: 47; Linguagem: Inglês

10.1016/j.matpr.2021.04.576

2214-7853

U. Maheswaran, Ravindra Babu Kallam, B. Arathi, Koppula Prawan, G Anitha,

IoT-based Smart Home Systems

A lightweight device is constructed to build the powerful plant leaf disease identification scheme with intelligent leaf scanning mechanism. Now-a-days agriculture related fields are getting more attention and importance to take care with as well as the disease identification over leaves can save the entire agricultural field from the affection. An affection caused on a single plant need to be identified in initial stages to prevent the whole farm affection. In literature there are multiple plant leaf disease detection schemes are available but all are strucked under certain constraints such as lacking of cost efficiency, poor execution time, performance, accuracy and so on. In this paper, a new lightweight smart device is introduced called SmartBox, in which it operates based on the Intelligent Leaf Scanning Mechanism (ILSM). This ILSM approach is associated with the SmartBox, in which the SmartBox is constructed with certain intelligent components such as Camera and WiFi. These two components are integrated into the SmartBox to collect the plant leaf images from the agricultural land and pass it to the server unit for processing. In the server end the ILSM is activated to identify the diseases present into the leaf as well as notify that to the farmer to take an appropriate action to prevent the farm land further. This ILSM mechanism associates the deep learning based classification logic to classify the leaf images with respect to affected and non-affected regions. This paper provides the practical proof for the classification efficiency of the proposed approach as well as the disease identification norms in clear manner.