Leading by excellence, PRETATERRA seeks to maximize its innovation process, transforming each new challenge into a constant improvement. Our Research and Development area is embedded in the day-to-day continuous improvement of our projects. We are actively looking for new partners to help us develop the most disruptive and exponential fronts in the regenerative and agroforestry field.
A new agroforestry planet needs new professionals. The new designers of the construction of this harmony need a new didactic, which rethinks the beginnings of digital technology, as an auxiliary tool in the learning process of the most ancient natural concepts.
Our division of ecosystem education, PRETATERRA Academy, was born to create a never-before-seen narrative and learning experience that embraces new generations.
Through the combination of innovation and ancestry, we create cutting-edge technology for agroforestry.
First of all, we produce our own food and use our home as a successful showcase to demonstrate in-house developed agroforestry technologies to reduce management and optimize agroforestry spatial logic. In this space, we have the opportunity to work on disruption in a more systemic way. As a social technology, we expand our systems beyond our borders, empowering local farmers through workshops and periodic meetings. Seeking to strengthen the ecosystem's resilience of the landscape, we also build biodiversity corridors connecting the forest zones in our surroundings. We establish partnerships with municipalities and actively seek investors and grants. Today, the Timburi Project already has the restoration and implementation of SAFs in more than 300 hectares.
Through multidisciplinary methodologies, we seek to understand the variations in the growth curves of different plant species, their performance variations related to soil and climate conditions, management conditions, and calibrations due to climate change.
Instead of using average parameters of specific biomes, we quantify the carbon present in each plant individually and in a modular way in an agroforestry design, creating extremely accurate forecasts. Precise measurements and a robust database help us to infer the dynamics of humic carbon in the soil, carbon in litter, and roots. Finally, calibrations are made considering management practices (such as pruning and adding biomass), leakage, and potential extreme events. The sum of agroforestry experience and cutting-edge GIS technology has helped us to build the most innovative algorithms in the prognosis of carbon fixation, whether in SAFs or in restoration areas.
Looking towards a decarbonization economy, at a time when new ideas and solutions are imminently needed, we focus efforts on generating food systems for smart cities.
For this, we transpose the mimetic premises of agroforestry to solutions and precise planning in the production of food in the urban environment. With our partners, we create integrative models of social, human, and ecosystem orientation values, in a revolutionary vision of the more sustainable, resilient, and efficient future we want to create.
With extensive use of available data and a robust metadata bank regarding the performance of plants in agroforestry systems, we created the most innovative models for generating productive and financial forecasts for regenerative agroforestry.
Machine learning processes predict the behavioral interaction between individuals systematically allocated in agroforestry and, consequently, strategic definitions of management interventions. Our forecasts bring assertiveness in choosing species with the best performance and return in terms of production and carbon. Through three-dimensional drawings and sketches, we seek to create a gamified visual experience that transports the user into the agroforest, without physical or temporal barriers, in an environment where the dynamics of stratification and succession can be experienced in a unique immersion. We also create visual management tools with sufficient elasticity to make decisions, allocate resources and measure production costs. Our algorithms are in constant calibration, in a permanent beta model, we focus on the continuous improvement of the different APIs that generate our agroforestry designs and our financial modeling.
Envisioning a systemic reconnection of humans and nature and foreseeing a return of new generations to the countryside, we work on solutions that permeate the search for belonging and the need for activities linked to our intrinsic survival.
Understanding that the recolonization of the countryside goes through an active process of training, understanding, and reorganization of the productive matrix, we see the participation of the private sector in territorial redistribution as a positive factor of added value. PRETATERRA searches, evaluates, and designs collective productive fields, planning administrative and collectivization tools, in addition to the integrated use of preservation areas and the creation of a high added value chain, through market analysis and the formation of cooperatives and consumer groups.
By accessing ancestral techniques and using innovative technologies, we seek to understand how to help nature work in our favor in food production.
One of the main focuses of PRETATERRA is born from the inspiration in the terra preta de Índio (TPI), the anthropogenic soil whose provenance is lost in time, which was born from ancestral regenerative agricultural practices. Today, we seek to understand the correlation between the nutritional density of foods and the micro life of the soil where they are planted. Our algorithms work with the distribution of service species in the design and with the understanding of nutrient cycling in the system. The interaction of species, environment, and intelligent microorganisms in agroforestry provides data for nutritional assessment and quantification, which can be transposed to alternative inputs (such as rock dust, charcoal, and different types of biomass) and consequently for replacement or gradual reduction of chemical inputs.
We use the logic of nature and ecosystem dynamics to generate tools and methodologies for generating, monitoring, managing, and monetizing ecosystem services.
Carbon, water, and biodiversity are the focus of our efforts. Our tools are created by defining KPIs and using historical ecological and climate data to build predictive models. Once quantified, the methods of transparent flow of subsidies and allocation of smart public policies are co-created, always maintaining a transparent technical dialogue between stakeholders. Today we are working on tokenization and generation of monetizable NTFs linked to ecosystem services and socio-biodiversity practices that bring resilience and financial flow to forest dependent-communities.
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