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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 7

Issue Published : 79

Article Submitted : 5528

Article Published : 3054

Total Authors : 7813

Total Reviewer : 540

Total Countries : 68

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Paper Title: PREDICTION OF CROP YIELD USING RNN, FEED FORWARD AND LSTM NEURAL NETWORKS ALGORITHMS
Authors Name: P PEDDA SADHU NAIK , Pothamsetty Pavani1
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IJRTI_183874
Published Paper Id: IJRTI2208237
Published In: Volume 7 Issue 8, August-2022
DOI:
Abstract: In recent days, the crop yield prediction is a major area of research, where the information about the suitable crop to cultivate will be very much useful for the farmers to cultivate. The crop yield prediction in agricultural helps the farmers to know how much yield they can expect from the cultivation. It also helps in minimizing the loss to the farmers when unfavorable condition occurs. The proposed work is to predict the yield of the crop based on the suitable crop parameters like Temperature Min, Temperature Max, Humidity, Wind speed, Pressure using neural network model. In this research paper, crop yields predictions were established using Feed Forward Neural Network and Recurrent Neural Network model which predict the crop yield. The performances of neural network models were evaluated using the metrics like Root Mean Square Error (RMSE) and Loss.
Keywords: Root Mean Square Error (RMSE)
Cite Article: "PREDICTION OF CROP YIELD USING RNN, FEED FORWARD AND LSTM NEURAL NETWORKS ALGORITHMS", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 8, page no.1476 - 1484, August-2022, Available :http://www.ijrti.org/papers/IJRTI2208237.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2208237
Registration ID:183874
Published In: Volume 7 Issue 8, August-2022
DOI (Digital Object Identifier):
Page No: 1476 - 1484
Country: MARKAPUR, Andhra Pradesh, India
Research Area: Computer Engineering 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2208237
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2208237
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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