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Vol. 7, June, Issue 6

Paper Submission  Deadline : 30th  April 2023

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CROP DISEASE IDENTIFY & RECOMMENDATION

Abstract

Abstract- Agricultural diseases and insect pests are two of the most significant problems threatening agricultural production. Early detection and identification of pests can significantly reduce pest-related economic losses. In this paper, a convolutional neural network is utilized to identify crop illnesses automatically. The CNN model is utilized for training in this system. The residual network unit to the model has a cross-layer direct edge and multi-layer convolution. The link into the ReLu function activates it when the combined convolution procedure is completed. Calculate the accuracy and create a CNN model. The findings suggest that the system can correctly identify crop plant diseases and Recommended. Keywords: Deep Learning, Image Processing, Classification, Conversational Neural Network etc. 

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 ICCEME -2020 conference     

Computer Science ,Electronics, Electrical  Engineering Information Technology, Civil, Computer Science and Engineering , Mechanical, Mechanical-Sandwich Petroleum, Production Instrumentation & Control, Automobile ,Chemical, Electronics Instrumentation& Control, Electronics & Telecommunication  Submit paper at oaijse@gmail.com

Organized  National Conference on SUSTAINABLE SOLID WASTE MANAGEMENT (SSWM)

@AMITY SCHOOL OF ENGINEERING & TECHNOLOGY

Department of Civil Engineering, Amity University Haryana,




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