An Experimental Analysis of Crop Yield Prediction using Modified Deep Learning Strategy-Reference-Cited by-同舟云学术

An Experimental Analysis of Crop Yield Prediction using Modified Deep Learning Strategy

Published:2022-01-28 Issue: Volume: Page:
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Container-title:2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
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Author:

Bharathi P. Shyamala¹,Amudha V.¹,Ramkumar G.¹,Nagalakshmi T. J.¹,Nalini N.¹,Jagadeesh P.¹

Affiliation:

1. Saveetha School of Engineering, SIMATS,Department of ECE,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9751777/9752467/09752492.pdf?arnumber=9752492

Reference15 articles.

1. An Unconventional Approach for Analyzing the Mechanical Properties of Natural Fiber Composite Using Convolutional Neural Network

2. Plant syndrome recognition by Gigapixel Image using Convolutional Neural Network

3. County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model

4. Hybrid prediction strategy to predict agricultural information

5. Prediction of Crop Yield and Fertilizer Recommendation Using Machine Learning Algorithms;bondre;International Journal of Applied Sciences and Engineering,2019

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