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yanzongzheng's Projects

apsim-vardecomp icon apsim-vardecomp

Decompose the variance contribution of different G*E*M factors on multiple APSIM model outputs

crop-yield-prediction-comparison-using-ml-dl-techniques icon crop-yield-prediction-comparison-using-ml-dl-techniques

In this project, we compare and predict the yield of five crops (wheat, barley, jowar, rapeseed & mustard, and bajra) in Rajasthan (district-wise) using three machine learning techniques: random forest, lasso regression and SVM, and two deep learning techniques: gradient descent and RNN LSTM. To apply the models to our data, we divided it into training and testing datasets. Each model is tested twice: once with only "area" and "production" in mind, and then again with additional factors (rainfall and soil type) in mind to predict crop yield. To find the model that most accurately predicts the yield, R2 score, Root Mean Squared Error (RMSE) and Mean Average Error (MAE) are calculated for each model.

jupyter icon jupyter

Jupyter metapackage for installation, docs and chat

pcse-1 icon pcse-1

Repository for the Python Crop Simulation Environment

ppdssat icon ppdssat

Pre- Post- process python for DSSAT

waqip icon waqip

waqip is to download air quality data from aqicn.org (http://aqicn.org).

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