Research Cell: An International Journal of Engineering Sciences

Geetu Yadav ¹, Dipti Bansal ¹

Affiliations
1 Department of Electronics and Communication Engineering, Punjabi University, Patiala, Punjab, IN

Abstract

Plant diseasedetection is developing field in India as farming is imperative segment in Economy and Social life. Earlier unscientific systems were in presence. Steadily with specialized and logical headway, more solid routines through most reduced turnaround time are created and proposed for right on time location of plant disease. In this paper, we concentrated on and assessed existing strategies for identification of plant diseases like k-means clustering, edge detection and feature extraction to get clear viewpoint about the systems and techniques followed. The discovery of plant disease is altogether in light of sort of family plants and same is did in the stages as segmentation and clustering.

Keywords

Plant Disease, K-Means Clustering, Edge Detection, Segmentation, Feature Extraction and Classifier.

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Dipti Bansal ¹, Mandeep Kaur ¹

Affiliations
1 Department of Electronics and Communication Engineering, Punjabi University, Patiala, IN

Abstract

Energy saving and power saving are the basic requirement in this world. Power sources such as non-renewable&renewable sources are available but still energy and power disaster cannot be overcome. In this paper, one of the non conventional methods has been discussed known as walking or running on the footstep. Non-conventional method that is from foot step, kinetic energy from foot step is converted into the electrical energy. This can be possible with the help of piezoelectric transducer which convert the kinetic energy into the electrical energy [1]. The power generated floor intends to translate the kinetic energy to the electrical power. This power generating floor can produce 100W on just 10 steps, then for 100 steps, it produces 1000W and for 100 floors within the system, it will produce 1MW.

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