Work

Simulation code and data: model-predictive irrigation scheduling over two kharif seasons, Chittoor, India

Year: 2026

Type: software

Abstract: Code and result data for a simulation study of irrigation scheduling (AquaCrop, ensemble Kalman filter, LSTM, random forest and model-predictive control) for two real-weather kharif tomato seasons in Chittoor district, Andhra Pradesh (2023, 2024), with weather from NASA POWER MERRA-2. All results use a fixed random seed (42). See the included README.md for documentation, reproduction instructions and scope notes on how the components were evaluated.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22839823

Author: VATTIPALLI, GNANA PRASUNA

Language: English

Topic: Irrigation Practices and Water Management

Subfield: Soil Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Zero hunger, Clean water and sanitation

Open Access status: green

OpenAlex ID: W7213619149

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