dilettagoglia / MAPPA

🍀Medicinal and Aromatic Plant Procedures for Authentication (MAPPA project)

MAPPA project: Medicinal and Aromatic Plant Procedures for Authentication.

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

This repository contains the code that retrieves the content of the MAPPA database and transform it in structured cards for each plant in the database, both in Word and in PDF format.

Description

The database in .xlsx format and the code contained in this repo have been developed for the MAPPA project (Medicinal and Aromatic Plant Procedures for Authentication) of Pharmacy Department, University of Pisa. At this stage, the export directory only contain a sample of the results obtained by running the code, since the content of the database is not publicly available and accessible. The .docx and .pdf files' names correspond to the plant ID in the database.

Directory structure (main elements)

MAPPA
  │── src
  │    │── tables.py                   
  │    │── params.py                          
  │    │── utilities.py
  │    └── main.py                    # file to run
  └── database
  │    └── MAPPA_database.xlsx        # access allowed only to project members
  └── export
  │   │── doc      
  │   │    └── ...                    # produced cards in .docx format
  │   └── pdf     
  │        └── ...                    # produced carda in .pdf format
  └── img          
  │   └── logo.jpg                    # project logo 
  └── material          
  │   │── Guida.docx                  # project guide for collaborators 
  │   │── MAPPA_poster_en.pdf
  │   └── MAPPA_poster_it.pdf
  └── requirements.txt
  └── README.md
  └── LICENSE  

Quick start

Install Python:
sudo apt install python3

Install pip:
sudo apt install --upgrade python3-pip

Install requirements:
python -m pip install --requirement requirements.txt

Execute main

cd src/
python main.py

Project info & team

Coordinator

Alessandra Bertoli,
Associated professor at Pharmacy Department, University of Pisa,
via Bonanno 33 56126 PISA (Italy),
[e-mail]

Corresponding author

Dr. Diletta Goglia
Postgraduate Student in MSc in Artificial Intelligence
Computer Science department, University of Pisa, Italy
[e-mail]
dilettagoglia.netlify.app

Candidata vincitrice dell'incarico di collaborazione a seguito del bando dedicato all'attività di supporto all’interno del progetto MAPPA per lo sviluppo di una banca dati di settore on-line dedicata all’inquadramento di materie prime e derivati a base di piante officinali mediante catalogazione di dati etno-botanico-farmaceutici selezionati.

Progetto Superforma Regione Toscana.

Data gathering

Alice Bovi Campeggi, Elisa De Santis, Elisa Solari (Pharmacy Department), Alice Downes (Agricultural Science Department)