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ML4Earth Hackathon 2022 (online)

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Atrium
Atrium

Explainable AI for soybeans yield prediction

Winner Winner
Aleksei Zhuravlev
2 0
How to yield more than yield
How to yield more than yield

How to get more information out of early crop yield prediction and see which times of the years and which features are critical for crop yield prediction using xAI

Winner Winner
Anna-Lena Erdmann
1 0
ML4Earth Hackathon 2022- Parinda,Yanika,Lisah
ML4Earth Hackathon 2022- Parinda,Yanika,Lisah

Crop yield prediction with remote sensing and machine learning and exploring relations with explainable AI in Time Series

Winner Winner
Yanika Dontong Parinda Pannoon Lisah Ligono
4 0
cornXplain
cornXplain

We provide an interactive dashboard which makes it fun to explore all aspects of crop modeling - From the input data, to the model theory and prediction process, to simulating possible scenarios.

JohMast Mast Maninder Singh
2 0
Crop Yield Prediction
Crop Yield Prediction

Explain the The Unexplainable

Arnab Bhowmik CHANDRABALI KARMAKAR
1 0
ENSEMbLe
ENSEMbLe

Crop yields prediction via ensemble of ML models and exploration of temporal dynamics between predictors and yields

Atabek Umirbekov
0 0
Crop Yield Statistical Engine
Crop Yield Statistical Engine

This is a statistical engine developed in R that uses findings from agricultural economics to provide predictions of crop yields. It was submitted to the 2022 ML4Earth Hackathon.

Babatunde Onabajo
0 0
ML4Earth Hackathon 2022
ML4Earth Hackathon 2022

Crop yield prediction with remote sensing and machine learning and exploring relations with explainable AI

Sirui Wang
0 0
Crop yield prediction
Crop yield prediction

Guiding agriculture

KARTHIK  V
0 0

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