Weather Data and Agro-climate Indices -- Comparative Study

Author:

Li Yunan1ORCID,Zainab Syeda Sana E1ORCID,Dhelim Sahraoui1ORCID,Kechadi Mohand Tahar1ORCID

Affiliation:

1. School of Computer Science, University College Dublin, Ireland

Funder

CONSUS

Science Foundation Ireland's Strategic Partnerships Programme

Origin Enterprises Plc

Publisher

ACM

Reference25 articles.

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

2. [2] Vuong M Ngo, Nhien-An Le-Khac, and M-Tahar Kechadi. Designing and implementing data warehouse for agricultural big data. In Big Data–BigData 2019: 8th International Congress, Held as Part of the Services Conference Federation, SCF 2019, San Diego, CA, USA, June 25–30, 2019, Proceedings 8, pages 1–17. Springer, 2019.

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

4. Wheat Yield Prediction Using Remotely Sensed Agromet Trend-Based Models for Hoshiarpur District of Punjab, India

5. [5] Yogesh Bansal, David Lillis, and Mohand Tahar Kechadi. A deep learning model for heterogeneous dataset analysis–application to winter wheat crop yield prediction. arXiv preprint arXiv:2306.11942, 2023.

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