nh3pred 0.1.2

Predict ammonia emissions with a recurrent neural network model

nh3pred

This package provides a single function, predict, which estimates ammonia emissions following field fertilization under given environmental conditions.
The underlying model is a recurrent neural network described in [ref] under the name "rnn 9 – data a.".
The predict function works similarly to the alfam2 function from the R package ALFAM2.

Install

pip install nh3pred 

Documentation

A complete documentation for the predict function is available here.

Usage

You can use the package in Python as follows:

import pandas as pd
from nh3pred import predict

df = pd.DataFrame ({
    "pmid": [1, 1, 1, 1, 1, 1],
    "ct": [3, 6, 10, 24, 48, 72],
    "tan_app": [42, 42, 42, 42, 42, 42],
    "air_temp": [18, 23, 24, 15, 21, 20],
    "wind_2m": [2, 2, 1, 1, 2, 2],
    "rain_rate": 0,
    "app_rate": [20, 20, 20, 20, 20, 20],
    "man_dm": [8.3, 8.3, 8.3, 8.3, 8.3, 8.3],
    "man_ph": [7.1, 7.1, 7.1, 7.1, 7.1, 7.1],
    "app_mthd": ["ts", "ts", "ts", "ts", "ts", "ts"],
    "man_source": ["cat", "cat", "cat", "cat", "cat", "cat"]
})

pred = predict(df)
print(pred)

Notes

• The trained weights are included in the package under ammonia_predict/data/final_model.pth.
• The package requires Python ≥3.12, PyTorch ≥2.5.0, and pandas ≥2.2.3.