Deep-LSTM Model for Wheat Crop Yield Prediction in India-Reference-Cited by-同舟云学术

Deep-LSTM Model for Wheat Crop Yield Prediction in India

Published:2022-07 Issue: Volume: Page:
ISSN:
Container-title:2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT)
language:
Short-container-title:

Author:

Saini Preeti¹,Nagpal Bharti²

Affiliation:

1. NSUT East Campus (Formerly Ambedkar Institute of Advanced Communication Technologies & Research), University School of Information, Communication & Technology (USICT), Guru Gobind Singh Indraprastha University (GGSIPU),Delhi,India

2. NSUT East Campus (Formerly Ambedkar Institute of Advanced Communication Technologies & Research),Department of Computer Science and Engineering,Delhi,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9913511/9913512/09913604.pdf?arnumber=9913604

Reference18 articles.

1. AN APPROACH FOR PREDICTION OF CROP YIELD USING MACHINE LEARNING AND BIG DATA TECHNIQUES

2. Agricultural Statistics at a Glance—2020;Ministry of Agriculture and Farmers Welfare Government of India,2020

3. Weka 3: Data Mining Software in Java, Machine Learning Group at the University of Waikato,2022

4. Crop yield prediction using machine learning: A systematic literature review

5. The Application of Multiple Linear Regression and Artificial Neural Network Models for Yield Prediction of Very Early Potato Cultivars before Harvest

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning Techniques in Wheat Crop Yield Prediction Using NDVI Indices and Meteorological Parameters;2023 International Conference on Sustainable Communication Networks and Application (ICSCNA);2023-11-15

2. Advancing Agricultural Crop Recognition: The Application of LSTM Networks and Spatial Generalization in Satellite Data Analysis;Agriculture;2023-08-24

3. Computer Vision and Machine Learning for Smart Farming and Agriculture Practices;Artificial Intelligence Tools and Technologies for Smart Farming and Agriculture Practices;2023-06-30

4. Forecasting Wheat Yield Using Long Short- Term Memory Considering Soil and Metrological Parameters;2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT);2023-01-19