Incorporating Meteorological Data and Pesticide Information to Forecast Crop Yields Using Machine Learning-Reference-Cited by-同舟云学术

Incorporating Meteorological Data and Pesticide Information to Forecast Crop Yields Using Machine Learning

Published:2024 Issue: Volume:12 Page:47768-47786
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hoque Md Jiabul¹^ORCID,Islam Md. Saiful²^ORCID,Uddin Jia³^ORCID,Samad Md. Abdus⁴^ORCID,De Abajo Beatriz Sainz⁵^ORCID,Vargas Débora Libertad Ramírez⁶^ORCID,Ashraf Imran⁴^ORCID

Affiliation:

1. Department of Computer and Communication Engineering, International Islamic University Chittagong, Kumira, Chattogram, Bangladesh

2. Department of Electronics and Telecommunication Engineering, Chittagong University of Engineering and Technology, Chittagong, Bangladesh

3. AI and Big Data Department, Endicott College, Woosong University, Daejeon, South Korea

4. Department of Information and Communication Engineering, Yeungnam University, Gyeongsan-si, South Korea

5. Department of Signal Theory, Communications and Telematics Engineering, University of Valladolid, Valladolid, Spain

6. Universidad Europea del Atlántico, Santander, Spain

Funder

European University of Atlantic

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10485420.pdf?arnumber=10485420

Reference50 articles.

1. Crop Yield Estimation in India Using Machine Learning

2. Climate Variability and Change Affect Crops Yield under Rainfed Conditions: A Case Study in Gedaref State, Sudan

3. Weather-Based Statistical and Neural Network Tools for Forecasting Rice Yields in Major Growing Districts of Karnataka

4. Development Trends in Precision Agriculture and Its Management in China Based on Data Visualization

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