Detection Of Diseases In Crop Using Predictive Analysis
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International Journal of Engineering Trends and Technology (IJETT) | 
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| © 2019 by IJETT Journal | ||
| Volume-67 Issue-5 |
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| Year of Publication : 2019 | ||
| Authors : Sarita Sapkal, Ashrika Shetty , Rutuja Kumbhar , Aniruddha Pansare , Tanaya Sonone |
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| DOI : 10.14445/22315381/IJETT-V67I5P220 |
Citation
MLA Style: Sarita Sapkal, Ashrika Shetty , Rutuja Kumbhar , Aniruddha Pansare , Tanaya Sonone "Detection Of Diseases In Crop Using Predictive Analysis" International Journal of Engineering Trends and Technology 67.5 (2019):128-130.
APA Style: Sarita Sapkal, Ashrika Shetty , Rutuja Kumbhar , Aniruddha Pansare , Tanaya Sonone (2019). Detection Of Diseases In Crop Using Predictive Analysis International Journal of Engineering Trends and Technology,67(5),128-130.
Abstract
A elevated viability bridgeless three-level power feature cure rectifier be projected. The course plan of things to come rectifier contains four metal oxide semiconductor field-sway transistor switch, and the pivot revival issues of the switch are discarded. In like manner, the projected rectifier among three voltage level decreases the influence adversities, consonant parts, voltage examinations, and electromagnetic block. in the direction of manage the cross section present and the yield electrical energy reasonably, a feed-forward apparent electrical energy compensator with the mode selector is made; with presetting the working motivation behind the structure electrical energy, this compensator improve the manage condition. As such, the projected three-level PF-C rectifier through made organize figuring gives elevated power excellence and elevated sufficiency Preliminary outcomes subject to a 1-kW model are given to evaluate its introduction and check the examination.
Reference
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Keywords
Crop leaf diseases, Disease detection, Classification, Image processing, Feature Extraction,Convolution Neural Network(CNN)