Detection Of Diseases In Crop Using Predictive Analysis

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2019 by IJETT Journal
Volume-67 Issue-5
Year of Publication : 2019
Authors : Sarita Sapkal, Ashrika Shetty , Rutuja Kumbhar , Aniruddha Pansare , Tanaya Sonone
  10.14445/22315381/IJETT-V67I5P220

MLA 

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
[1] Vijai Singh, A.K. Misra ,"Detection of plant leaf diseases using image segmentation and soft computing techniques", Information Processing in Argriculture Vol.4, 2017.
[2] Prof. Patil Ashish, Patil Tanuja ,"Survey on Detection and Classification of Plant Leaf Disease in Agriculture Environment ", IARJSET Vol. 4, Special Issue 4, January 2017.
[3] Saradhambal.G , Dhivya.R, Latha.S, R.Rajesh, "Plant Disease Detection and Its Solution Using Image Classification", International Journal of Pure and Applied Mathematics Volume 119 No. 14 2018,
[4] Sujan Sarkar, Sanket Biswas, Avinaba Tapadar, Pritam Saha4,"AI Based Fault Detection on Leaf and Disease Prediction Using K-means Clustering"
[5] Goutum Kambale, Dr.Nitin Bilgi," A Survey Paper on Crop Disease Identification and Classification Using Pattern Recognition and Digital Image Processing Techniques ".
[6] Dr. B. R. Thakur, "Disease of field crop and their management".
[7] Olatayo M. Olaniyan*, Mutiu A. Adegboye, Bolaji Omodunbi, Badmus T and Ibraheem A. Mutolib,"A Decision Support System for Automatic Fertilizer to Tomato Plants using Artificial Neural Network", Vol 3 2018

Keywords
Crop leaf diseases, Disease detection, Classification, Image processing, Feature Extraction,Convolution Neural Network(CNN)