ML4WX

Applications & impacts

Deep Learning Based Weighted SOM to Forecast Weather and Crop Prediction for Agriculture Application

Pushpa Mohan, Kiran Kumari Patil

International journal of intelligent engineering and systems ·

PaperPDF

In one sentence. SOM and LDA dimensionality reduction with a DNN classifier claims 7-23% accuracy gains for weather and crop prediction; methodology is weakly described.

Labels

Topic
Applications & impacts
Type
New model or method
Method
Other
Time scale
Seasonal to annual
Domain
Regional
Data
Other
Status
Research
Identifiers
DOI:10.22266/ijies2018.0831.17 OpenAlex:W2810857113
Added
2026-10-22

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