Harvesting Predictions: ARIMA Models in Telangana’s Agriculture 🌾

The following repository illustrates the implementation of ARIMA model over crop produce in the state of telangana.

📚 About the files

Our repository is organized as follows:

1. ICRISAT-<crop_name>.xls: These files are your gateway to comprehensive datasets, meticulously compiled over the years for various districts. Each grain of data adds to the bigger picture of Telangana's agricultural landscape.

2. yearly_<crop_name>_prod.xls: These files present a cleaned dataset, showcasing the yearly trends of crop production. They are the result of careful data cleaning and preprocessing, ready for analysis and modeling.

3. ICRISAT-DATA COLLECTION.ipynb: Ever wondered how we transformed the raw data into a clean, analysis-ready format? This Jupyter notebook walks you through the entire data cleaning process, step by step.

4. FINAL ICRISAT PROCEDURE <crop_name>.ipynb: These files are where the magic happens! Here, we implement ARIMA models on selected crops, turning data into valuable predictions.

🔍 Data and acquisition

Open Data Telangana: Click Here

⚒️ The workflow

Fig. 1. Flow of implementation

Fig. 2. Auto-correlation and Partial Auto-correlation

Fig. 3. ARIMA Projections

Created in May 2024

@author: Pavan Mohan Neelamraju

Affiliation: SRM University AP - Andhra Pradesh

Email: npavanmohan3@gmail.com

Personal Website 🔴🔵: pavanmohan.netlify.app

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