https://github.com/cbsteh/PySawit
Oil Palm Growth and Yield Model
https://github.com/cbsteh/PySawit
agriculture biophysics crop energy hydrology meterology model oil palm simulation soil
Last synced: 7 months ago
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Oil Palm Growth and Yield Model
- Host: GitHub
- URL: https://github.com/cbsteh/PySawit
- Owner: cbsteh
- License: mit
- Archived: true
- Created: 2017-10-19T09:52:04.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2024-06-02T12:11:05.000Z (over 1 year ago)
- Last Synced: 2024-10-05T08:06:09.117Z (about 1 year ago)
- Topics: agriculture, biophysics, crop, energy, hydrology, meterology, model, oil, palm, simulation, soil
- Language: Python
- Homepage: http://christopherteh.com/pysawit
- Size: 3.02 MB
- Stars: 21
- Watchers: 6
- Forks: 8
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# PySawit v. 0.0.1 (ARCHIVED)
Update (June 2, 2024): PySawit has been replaced by [Sawit.jl](https://github.com/cbsteh/Sawit.jl), which is much improved and faster, and has been validated against more sites.
Oil Palm Growth and Yield Model
by [Christopher Teh Boon Sung](http://www.christopherteh.com)
## Overview
PySawit is a model, written in Python language, to simulate the growth and yield of oil palm. The following are various conditions among which PySawit is able to simulate:
* different planting densities
* different weather conditions (such as air temperature, rainfall, *etc.*)
* different soil properties (such as soil texture)
* different crop physiological conditions (such as flower sex ratios, specific leaf area, plant nutrient content, photosynthetic parameters, *etc.*)
At the moment, PySawit simulates crop production level 2, where oil palm is limited only by meteorological and soil water availability. Nutrients, pests, diseases, weeds, and other field practices are assumed to be optimally managed.
Read the [`brief report on PySawit.`](https://github.com/cbsteh/PySawit/blob/master/docs/pysawit.pdf)
## Installation
1. To simplify the installation process, download the [`Anaconda`](https://www.anaconda.com/download/) suite. **Make sure you only choose the Python version 3.5 or higher (NOT ver 2.7).** Downloading the [`Anaconda`](https://www.anaconda.com/download/) suite will include not only the Python interpreter but also the `matplotlib`, `numpy`, and `xlwings` modules which are required by PySawit.
1. Then, at your system's command line or prompt, type: `pip install pysawit`
to download and install the PySawit.
1. If you want the Excel user-interface to PySawit and the example files, just download the files from the `examples` folder. Or download the entire [`PySawit`](https://github.com/cbsteh/PySawit/archive/master.zip) repository.
1. You may also want to download and install [`Graphviz`](http://www.graphviz.org/Download.php) if you are planning to use PySawit's tracing feature to plot out a map of the program flow. Ensure you read the [`Graphviz`](http://www.graphviz.org/Download.php) website on how to set up the environment variable to recognize the location of graphviz files.
## How to use
Call Python on [`pysawit.py`](http://christopherteh.com/pysawit/pysawit/index.html). See this file's documentation on the commandline flags or options.
## Citation
Preliminary work of PySawit was progressively published in several conference proceedings, but the full or complete work of PySawit was first published in:
`Teh, C. B. S., & Cheah, S. S. (2018). Modelling crop growth and yield in palm oil cultivation. In A. Rival (Ed.), Achieving sustainable cultivation of oil palm (Vol. 1, pp. 183-227). Cambridge, UK: Burleigh Dodds Science Publishing.`