Enhancing Crop Yield Prediction Skill through Multi-Stage Clustered Prediction: A Novel Approach for Spatiotemporal Data
Author:
Affiliation:
1. Chemical Engineering, Indian Institute of Technology,Madras, India
2. Space Application Centre, Indian Space Research Organisation, India
Funder
Indian Space Research Organisation
Indian Institute of Technology Madras
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3674029.3674068
Reference12 articles.
1. Farming Made Easy using Machine Learning
2. T. van Klompenburg A. Kassahun and C. Catal. 2020. Crop yield prediction using machine learning: A systematic literature review. Computers and Electronics in Agriculture 177 (2020). https://doi.org/10.1016/j.compag.2020.105669
3. Surficial N+ charge density indicating antibacterial capacity of quaternary ammonium resins in water environment
4. J. Muñoz Sabater. 2019. ERA5-Land monthly averaged data from 1981 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS).
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