Developing a solution to facilitate better understanding of crop-based carbon emissions
Doktar is an agri-tech company that aims to optimize the food ecosystem with intensive use of information and data-driven decisions. For this purpose, we develop digital agricultural solutions for the entire agricultural value chain, based on new technologies such as remote sensing, machine learning, Internet of Things and we establish effective distribution systems and business partnerships for the mass use of these technologies.
The agri-food sector is a major contributor to global carbon emissions. Yet current greenhouse gas emission calculation methodologies and approaches are primarily developed for industrial level assessments, and monitoring of emissions at the agricultural and field level is difficult. The methodologies offered by international carbon certification bodies cannot be evaluated on a crop-by-crop basis, and as a result, an accurate traceability cannot be achieved. This lack of sound understanding of the carbon footprint of conventional agri-food products at the farm level makes it difficult for both farmers and end consumers to understand and track the positive effect of regenerative agricultural practices, such as reduced carbon footprint, or increased soil organic carbon (SOC).
We are looking for a solution that:
- Is targeted at farmers as a core user group.
- Is user-friendly, intuitive, and accessible to farmers.
- Allows farmers to calculate carbon emissions of their farmed products, on a crop-by-crop basis.
- Is based on leading science-based methodologies.
- Increases transparency and traceability of the impacts of the agri-food value chain.
- Is easily integrated with other farm-level tools used by farmers.
- Develops a baseline for before/ after analyses of transitioning from conventional to regenerative agricultural practices.
At minimum, the solution should be applicable to the following crops: cotton, rice, corn, wheat,
barley, tomato, potato, canola, citrus, and sunflower.