How to generate Irrigation Schedule in AquaCrop-OSPy?

29 February 2024 3 6K Report

AquaCrop-OSPy is a python package to automate tasks from AquaCrop (FAO) via Python. I would like to write some code so that AquaCrop-OSPy can suggest the irrigation schedule. I followed this tutorial regarding the Aqua Crop GUI. (https://www.youtube.com/watch?v=o5P35ogKDvw&ab_channel=FoodandAgricultureOrganizationoftheUnitedNations)

Based on the documentation and some jupyter notebooks, I selected rrMethod=1: Irrigation is triggered if soil water content drops below a specified threshold (or four thresholds representing four major crop growth stages (emergence, canopy growth, max canopy, senescence). I have written the following code (code regarding importing the packages has been removed to keep the question short)

smts = [99]*4 # soil moisture targets [99, 99, 99, 99]

max_irr_season = 300 # 300 mm (water)

path = get_filepath('champion_climate.txt')

wdf = prepare_weather(path)

year1 = 2018

year2 = 2018

maize = Crop('Maize',planting_date='05/01') # define crop

loam = Soil('ClayLoam') # define soil

init_wc = InitialWaterContent(wc_type='Pct',value=[40]) # define initial soil water conditions

irrmngt = IrrigationManagement(irrigation_method=1,SMT=smts,MaxIrrSeason=max_irr_season) # define irrigation management

model = AquaCropModel(f'{year1}/05/01',f'{year2}/10/31',wdf,loam,maize,

irrigation_management=irrmngt,initial_water_content=init_wc)

model.run_model(till_termination=True)

The code runs but I cannot find when and how much water (depth in mm) is irrigitated. model.irrigation_management.Schedule retrurns an array of zeros. The total amount of water is 300mm as can be seen on the code. I also tried dir(model.irrigation_management) to have a look at other methods and attributes but without any success.

Is what I am asking possible via AquaCrop-OSPy or have I misunderstood any concept?

Adnan Majeed

Install AquaCrop-OSPy: First, you need to install AquaCrop-OSPy on your system. You can find installation instructions in the AquaCrop-OSPy documentation or README file.

Prepare Input Data: Prepare input data required for AquaCrop-OSPy simulation. This includes climate data, soil data, crop data, management data, etc.

Run AquaCrop-OSPy Simulation: Run the AquaCrop-OSPy simulation using the prepared input data. This will simulate crop growth and water use under the given conditions.

Generate Irrigation Schedule: Once the simulation is complete, you can generate the irrigation schedule using the simulation output. AquaCrop-OSPy provides functions to generate irrigation schedules based on the simulated crop water requirements and available water.

# Import necessary modules

import os

from AquaCrop_OSPy import RunAquaCrop

# Set input and output directories

input_dir = 'input_data'

output_dir = 'output_data'

# Run AquaCrop-OSPy simulation

RunAquaCrop(input_dir, output_dir)

# Generate irrigation schedule

irrigation_schedule = generate_irrigation_schedule(output_dir)

# Save irrigation schedule to a file

output_file = os.path.join(output_dir, 'irrigation_schedule.csv')

irrigation_schedule.to_csv(output_file)

Ilias Machairas

model_os._outputs.water_flux['IrrDay']. This is the irrigated water for each day.

Safiul Haque Chowdhury

Generating an irrigation schedule in AquaCrop-OSPy involves several steps. AquaCrop-OSPy is an open-source Python version of AquaCrop, a crop-water productivity model developed by FAO. Here's a general overview of how to generate an irrigation schedule using AquaCrop-OSPy:

Install AquaCrop-OSPy: First, make sure you have Python installed on your system. You can then install AquaCrop-OSPy using pip, a Python package manager. Open a terminal or command prompt and run the following command: pip install aquacrop

Prepare Input Data: Prepare the necessary input data for AquaCrop-OSPy. This includes information about the crop, soil, weather, irrigation management, and management practices. Input data may include parameters such as crop type, planting dates, soil characteristics, climate data (temperature, rainfall, etc.), irrigation scheduling criteria, and irrigation system specifications.

Run AquaCrop-OSPy: Write a Python script or use the AquaCrop-OSPy command-line interface to run the model with the input data prepared in the previous step. The model will simulate crop growth, soil water dynamics, and irrigation requirements over the specified time period.Here's an example of how to run AquaCrop-OSPy from the command line: arduino aquacrop run Replace with the path to your input data file.

Generate Output: After running the model, AquaCrop-OSPy will generate output files containing simulation results, including crop growth, soil water content, and irrigation requirements. These output files may be in CSV format or other formats specified in the AquaCrop-OSPy documentation.

Analyze Results: Analyze the simulation results to determine the irrigation schedule. The model output will provide information on when and how much irrigation water is needed to meet crop water requirements at different growth stages. Use this information to generate an irrigation schedule based on the simulated crop water demand and available water resources.

Refine and Adjust: Refine the irrigation schedule as needed based on additional considerations such as local water availability, irrigation system efficiency, and agronomic practices. Adjust the schedule as necessary to optimize water use efficiency and crop productivity while minimizing water waste and environmental impact.

Implement and Monitor: Implement the irrigation schedule in the field and monitor crop growth, soil moisture, and irrigation performance throughout the growing season. Make adjustments to the schedule as needed based on observed conditions and feedback from monitoring activities.

By following these steps, you can generate an irrigation schedule using AquaCrop-OSPy to effectively manage water resources and optimize crop production.

Please follow me if it's helpful. All the very best. Regards, Safiul

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