An AI-Based Prediction Model for Climate Change Effects on Crop production using IoT-Reference-Cited by-同舟云学术

An AI-Based Prediction Model for Climate Change Effects on Crop production using IoT

Published:2023-07-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Telecommunications Conference (ITC-Egypt)
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Author:

Elghamrawy Sally¹

Affiliation:

1. MISR Higher Institute for Engineering and Technology,Computer Engineering Department,Mansoura,Egypt

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10206047/10206045/10206201.pdf?arnumber=10206201

Reference20 articles.

1. Prediction of rainfed wheat Grain yield and biomass using Artificial Neural Networks and Multiple Linear Regressions and determination the most factors by sensitivity analysis;mehnatkesh;Information Technology Automation and Precision Farming International Conference of Agricultural Engineering - CIGR-AgEng 2012 Agriculture and Engineering for a Healthier Life,2012

2. Machine learning methods for crop yield prediction and climate change impact assessment in agriculture

3. Statistical and machine learning methods evaluated for incorporating soil and weather into corn nitrogen recommendations

4. Recommendation System for Crop Identification and Pest Control Technique in Agriculture

5. An H2O’s Deep Learning-Inspired Model Based on Big Data Analytics for Coronavirus Disease (COVID-19) Diagnosis

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1. Enhancing Maize Cultivation with Intelligent Decision Support: IoT, Deep Learning, and Blockchain Integration for Land Data Analysis;2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT);2024-03-15

2. Climatic Categorization Using Artificial Neural Networks;2024 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV);2024-03-11

3. Artificial Intelligence (AI) and the Prediction of Climate Change Impacts;2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA);2023-10-07