Predicting Agricultural Crop Damage Caused by Unexpected Rainfall Using Deep Learning-Reference-Cited by-同舟云学术

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Predicting Agricultural Crop Damage Caused by Unexpected Rainfall Using Deep Learning

Published:2024-05-03 Issue: Volume:6 Page:1-5
ISSN:
Container-title:2024 International Conference on Intelligent Systems for Cybersecurity (ISCS)
language:
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Author:

Fulkar Bhushan¹,Patil Pawan²,Srivastav Gaurav²,Mahale Promod³

Affiliation:

1. Faculty of Engineering and Technology,Department of Artificial Intelligence and Data science,Wardha,Maharashtra,India

2. DMIHER(DU),Artificial Intelligence and Data science Faculty of Engineering and Technology,Wardha,Maharashtra,India

3. DMIHER(DU),Faculty of Engineering and Technology,Department of Artificial Intelligence and Machine Learning,Wardha,Maharashtra,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10579950/10580998/10580999.pdf?arnumber=10580999

Reference20 articles.

1. Prediction of the production of crops with respect to rainfall

2. Detection of Crop Hail Damage with a Machine Learning Algorithm Using Time Series of Remote Sensing Data

3. Impact of extreme weather conditions on European crop production in 2018

4. Impact of extreme weather conditions on European crop production in 2018

5. Remote sensing for agricultural applications: A meta-review

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