Regenerative agriculture
The solution to support agri-food companies in their regenerative agriculture projects and farmers in their transition to resilient agriculture.
Regenerative agriculture is an agricultural approach that aims to restore and enhance essential ecosystem functions, such as soil health, biodiversity andwater retention, while supporting sustainable food production.
It is based on practices that promote soil carbon storage, reduce greenhouse gas emissions, and restore soil fertility and resilience for future generations.
These practices aim to preserve and restore biodiversity, including insects, birds and small animals. These techniques, based on five key principles, are more respectful of the environment and more sustainable.
To ensure the long-term sustainability of farms and their transmission to future generations, it is essential to protect biodiversity and the environment. This means moving towards a more resilient agricultural model.
Data is the key
Measuring and monitoring regenerative agriculture projects requires data collection and analysis. Without this data, you'll never be able to track the evolution of practices and their impact.
The data collected can be :
- Declarative (data entered manually)
- Digital (satellite data, machines, sensors, regulatory databases, etc.)
For regenerative agriculture projects, digital data is of crucial importance compared to declarative data. Digital data, collected via sensors, satellites, drones and other technologies, offer an accuracy and objectivity that declarative data, based on subjective statements by farmers, cannot guarantee.
Digital data enables continuous, real-time monitoring of key parameters such as soil health, moisture, temperature and biodiversity. This ability to obtain accurate, up-to-date information facilitates more informed and responsive decision-making, essential for optimizing agricultural practices and improving ecosystem resilience.
Declarative data, on the other hand, while useful for understanding farmers' perceptions and intentions, are often subject to bias and human error. They also lack the granularity needed to detect subtle but significant changes in environmental conditions.
Indicators in regenerative agriculture
There are many key indicators in regenerative agriculture. These will vary according to the project and the needs of the people involved.
In order to have the broadest possible view of the farm as part of a regenerative agriculture project, it is important to combine key indicators such as soil carbon sequestration or greenhouse gas emissions with biodiversity indicators such as BIOTEX or landscape composition, for example.
Our solution for regenerative agriculture
MYEASYSPHERES
MyEasySpheres is a ready-to-use and adaptable MRV (Measure, Report, Verify) platform for Regenerative Agriculture projects.
With MyEasySphères, you benefit from a digital solution specialized in Regenerative Agriculture, with the expertise of two companies: MyEasyFarm and Biosphères !
By using MyEasySpheres, you benefit from the use of digital data and reliable, verifiable data collection .
Visit our page to find out more ⤵️
The challenges of regenerative agriculture
We help you understand the agro-ecological challenges of today and tomorrow.
Discover how to turn your environmental constraints into drivers of economic performance through field data (MRV) and regenerative agriculture.
This article explains why “landscape” approaches—based on the pooling of resources and the co-financing of regenerative practices at the farm level—are emerging as the most effective way to accelerate the transition to sustainable agriculture.
Promises aren't enough anymore. It's time for proof. Join us for an engaging webinar covering Scope 3, soil restoration, data collection, and Gold Standard requirements.
