Digital tools to monitor your plot
A great deal of data is collected on Inagro's agroforestry plot in order to gain insight into the effectiveness and economic profitability of the system. However, data alone does not mean much if it is not processed, compiled and interpreted. Fortunately, there are digital tools that help to convert raw data into concrete insights. Below, we focus on the tools used to monitor the plot.
Efficient data management: structured and accessible
A good structure is essential for processing data correctly. Storing data correctly and systematically prevents loss and ensures that analyses can be carried out smoothly later on. At Inagro, both simple and complex datasets are managed using various tools:
- Excel: For smaller datasets and simple analyses, useful for quick overviews.
- Databases: For large-scale, long-term data collection that can be queried and analysed later. This is crucial for long-term trials.
- Cloud platforms: To make data accessible and share it with various stakeholders. This promotes collaboration and real-time monitoring of plot data.
Analysing data: from figures to insights
Analysing plot data starts with the right research questions. Without clear questions, data can provide little meaningful information. That is why, right from the start of data collection, consideration is given to the desired insights. Various software programmes are used to convert raw data into usable information:
- R: A powerful statistical programme for in-depth data analysis. It can be used to uncover trends and correlations in large datasets.
- Excel: For basic calculations and less complex statistical operations. An accessible option for quick analyses.
- Specific agricultural software: Tools such as QGIS or other GIS applications assist with spatial analyses of plot data. These applications make it possible to display location-based data visually and clearly.
Data visualisation: comprehensible reports and dashboards
Good visualisation makes insights usable in the field. Inagro uses various tools to present data in a clear and accessible way:
- Power BI: Interactive dashboards that clearly display trends and correlations. This tool makes it possible to analyse and present data in a dynamic way.
- Excel: Graphs and tables for reports. Useful for easy-to-interpret overviews.
- GIS software: Maps and spatial representations for plot management. This allows farmers to see at a glance which areas need extra attention.
From data to action
