A tour of the Land Life Company Database

Meet our software and database systems

Our database serves as the foundation that helps us store, organize and make sense of all our tree planting data.

While we have always stored data about individual trees and seedlings, species’ properties and optimal forestry practices, these databases – much like our company – have grown more sophisticated with every passing year. Today’s challenges lay in gathering, analyzing and applying all the data we have amassed over the years, along with scientific peer-reviewed agroforestry and synthesizing a structure of information that we can work with now and scale-up in the future. Land Life Company’s own software engineers are currently busy building the back-end infrastructure to enable this.

Nowadays, we collect information focused on more than just trees. For example, our monitoring systems app gathers information about local climate, soil, planting site statistics, (a)biotic stress, the performance of the Cocoon’s shelter component and so on. In other words, we are busy actively expanding our databases to collect data beyond merely the ‘tree’ as an entity independent from various other environmental factors. Our broader data collection remains relevant to optimizing the growth, health and resilience of our seedlings.

In the future, we want to take these millions of data points about trees, forestry and specific locations and process it through a machine learning algorithm. In this way, when a user says, “I wish to plant in this part of Spain, which has certain soil conditions and weather patterns,” the algorithm suggests a set of species that will be most successful, based on our own site data and historical data. The algorithm can put forth an optimal planting combination and then ties this to data models that will project CO2 sequestrations. As such, the Land Life Company team is rapidly building the databases’ capacity to store and interpret data through machine learning.