Organizational Context
Diversified agricultural systems that integrate legumes have been shown to enhance soil fertility, pest and disease control, and mitigate climate variability in smallholder systems of Sub-Saharan Africa. However, despite decades of promotion, the adoption of legume integration in these systems has been slow. This is partly due to a lack of understanding of the current crop allocation practices of smallholder farmers and the contextual barriers to legume adoption. The thesis aims to improve the understanding of cropping system planning and management by smallholder farmers and to explore pathways to facilitate legume integration on the basis of current crop allocation practices. The study will use both qualitative and quantitative methods, including farm-level simulation, remote sensing, and farmer’s interviews to contribute to the development of appropriate interventions to promote the adoption of legume-based sustainable intensification options.
Roles
Katrien Descheemaeker (Promotor)
Jens Andersson (Daily Supervisor)
Renske Hijbeek (Daily Supervisor)
Thomas Delaune (PhD)
Arno Lamberti (MSc)
Fritz Eckstein (MSc)
Thomas Delaune
Short and long term storage
All data will be stored on my local harddisk in a folder called Thesis.
Within this Thesis folder, I'll create per chapter the folders: Data, Model, Paper and Scripts. The Data folder has two sub-folders called: Raw and Processed.
Folder contents:
- Data - Raw sub-folder: Contains all raw data and meta-data (a description of your data).
- Data - Processed sub-folder: Contains all processed data.
- Model folder: Complete listing of the model and the model results & analysis.
- Paper folder: Text of a chapter / paper.
- Scripts folder: Contains all scripts used.
The complete content of my local Thesis folder will be stored on my YoDa-drive.
During periods I'm abroad, I'll backup the complete content of my local Thesis folder to a Dropbox or MS-Onedrive Thesis folder and share the contents with my supervisor(s).
Datasets (raw and processed), scripts (R, JavaScript, Python), publications, and posters
N/A
Sharing and Ownership
As far as possible all data will be publically available at the exception of the geographic location of the data sources.
The PhD Library site of PPS, on this location all data for each chapter of my thesis will be stored in a seperate zip file.
N/A
Privacy sensitive data will be excluded from the shared datasets.