KERNEL at COP29

SHOWCASE OF INNOVATIVE &
LOW-CARBON SUNFLOWER OIL PRODUCTION

This year Kernel became a partner of Ukraine Pavilion at the 29th Conference of Parties to the UNFCCC in Baku, Azerbaijan. We are bringing with us showcases of sustainable and climate-resilient practices at every stage of our value chain. These include Data Science and innovations when planning precise agriculture technology, regenerative agriculture operations on field and low-carbon processing of final products.

We seek to contribute to the overarching goal of addressing the
misconception that the Ukrainian agriculture sector is unsustainable.

Kernel’s panels in the Ukraine Pavilion at COP29

  • MARKETS
  • POLICY
  • INNOVATIONS

When:18 Nov, 12:00-12:50

Where:Ukraine Pavilion

The role of Ukraine's agricultural sector in achieving goals of the Paris Agreement: voluntary markets of nature-based carbon certificates, bioenergy, sustainable food supply chains

With its unique agroclimatic conditions, fertile soils, deep-rooted agricultural expertise, and cutting-edge IT innovations, Ukraine holds immense potential to drive the decarbonization of global food supply chains. The country is well-positioned to contribute to the development of voluntary carbon markets and support the global energy transition through the production of biofuels.

Jan-Willem van De Ven,
Jan-Willem van De Ven,
Head, International Climate Policy and Engagement, EBRD
Thierry Bolle-Picard,
Thierry Bolle-Picard,
Managing Partner, Sentinel Earth
Olha Evstigneeva,
Olha Evstigneeva,
Decarbonization expert, Reforms Support Team, Ministry of Energy of Ukraine
Oliver Marchand,
Oliver Marchand,
Head of Climate Risk Research, MSCI
Marta Trofimova,
Marta Trofimova,
Head of Sustainability, KERNEL
[Moderator]

When:18 Nov, 13:00-13:50

Where:Ukraine Pavilion

Integration of Ukrainian agriculture in the climate agenda of the European Union: the role of policymakers, private and financial sectors

This panel will explore the EU's position and plans regarding climate-specific regulations for agriculture, including areas such as greenhouse gas emissions, soil organic carbon management, and regenerative farming practices. Additionally, it will address the steps the Ukrainian agriculture sector must take to align with the EU’s climate agenda, highlighting key actions and opportunities for collaboration to meet shared environmental objectives.

Gianpiero Nacci,
Gianpiero Nacci,
Director in the Green Economy and Climate Action team, EBRD
Herwig Ranner,
Herwig Ranner,
Team Leader – Climate change and agriculture, DG AGRI, European Commission
Oleksandra Avramenko,
Oleksandra Avramenko,
Head of European Integration Committee, Association "Ukrainian Agribusiness Club"
Prof. Dr. Alfons Balmann,
Prof. Dr. Alfons Balmann,
Director of The Leibniz Institute of Agricultural Development in Transition Economies
Vitaliy Koval,
Vitaliy Koval,
Minister of Agrarian Policy and Food of Ukraine
Kateryna Spivakova,
Kateryna Spivakova,
Director of Communications and Government Relations, KERNEL
[Moderator]

When:18 Nov, 14:00-14:50

Where:Ukraine Pavilion

Data Science, AI and Machine learning: how Ukraine applies innovations to drive low-carbon precision agriculture and humanitarian demining

The innovative approach enables high yields while minimizing environmental impact. Moreover, these advancements are now playing a pivotal role in holistic mine action in Ukraine, supporting evidence-based planning for soil recovery and sustainable land use practices.

Regina Urazmanova,
Regina Urazmanova,
Product Manager, Carbon Solutions, EOS Data Analytics
Danylo Polyakov,
Danylo Polyakov,
Head of Data Science, KERNEL
Kateryna Shavanova,
Kateryna Shavanova,
PhD R&D Team Lead, Kernel
Inbal Becker-Reshef,
Inbal Becker-Reshef,
Program Director, NASA Harvest
Olena Pareniuk,
Olena Pareniuk,
PhD, Project Coordinator for Territory Prioritization Information Management, Ministry of Economy of Ukraine
Tiphaine Lucas,
Tiphaine Lucas,
Programme Coordinator, Mine Action and Land Rehabilitation, FAO Ukraine (TBC)
Josh Matthews,
Josh Matthews,
Practice Leader for Sustainability, HFS Research
[Moderator]

The Pathway of a Sunflower Seed

Planning

Sampling and analysis of soil characteristics
Sampling and analysis of soil characteristics
Kernel has its own laboratory, KernelLab, that analyses the agrichemical and agrophysical characteristics of soil, including the volume of soil organic carbon, on each of our fields.
Data consolidation and analysis in the farm management system
Data consolidation and analysis in the farm management system
Kernel has been developing its farm management system, Digital Agribusiness, since 2015. This integrated IT solution consolidates results of laboratory analysis of soil, geospatial analysis of fields, meteorological data, records of tillage operations and results of on-the-ground scouting. This forms the evidence-based basis of tailored agriculture technology and accurate forecasts of yields.
Artificial intelligence and machine learning for precise and sustainable agriculture
Artificial intelligence and machine learning for precise and sustainable agriculture
The large array of data is used to identify specific areas of productivity and homogeneity across each field and plan the agriculture technology accordingly. This approach allows for a precise application of fertilizers and plant protection products, optimization of fuel use by agriculture machinery and, therefore, reduction of GHG emissions and negative impact on biodiversity.
Continuous R&D for new evidence-based solutions
Continuous R&D for new evidence-based solutions
Kernel operates a research and development center on designated lands, where all new agriculture solutions and technologies are tested before scaling up. These include, among other new hybrids crop with higher resistance to acute climate change events, bioproducts that improve soil health, inhibitors of nitrification that reduce emissions from application of N-fertilizers, as well as new forms of reduced tillage.

Sowing

We apply regenerative agriculture practices that promote agroecological metrics of soil.
Sowing
Cover Crops
These are plants that restore soil health and enhance its properties. They protect fields from weeds, and strong winds, and enrich the soil with beneficial nutrients. We have been studying cover crops since 2016, experimenting with various mixtures to improve soil health, retain moisture balance, and more.
Optimization of Nitrogen Nutrition and Use of Nitrification Inhibitors
When calculating nitrogen fertilization for the planned yield, we take an individualized approach to each field, considering organic matter content, agrochemical analysis, and specific soil and climate conditions. Our proprietary model for calculating field potential takes into account big data, accumulated precision farming data, and scientific research. We continuously test nitrification inhibitors in various soil and climate conditions to ensure optimal usage.
Using Biopreparations
Since 2013, we have been using biopreparations in our practices. We received the international BioAgTech Sustainable Grower Award from Global BioAg Linkages, an organization that annually recognizes agricultural producers demonstrating the use of biotechnology to support food security and sustainability.We have signed a memorandum of strategic partnership with BTU, including joint activities in projects focused on decarbonizing Ukraine's agricultural sector, soil restoration, and the biologization of crop production.
Minimizing Soil Tillage
Strip-till is a technology that combines strip tillage with simultaneous fertilizer application. We have been studying and implementing this technology since 2014, expanding our fleet with equipment from global manufacturers, such as Mzuri and Ortman seed drills. We also apply no-till technologies, including Verti-till systems for vertical soil tillage, without sacrificing productivity.

Harvesting

  • crops found by the model
  • crops with gaps
  • duplicates
Differentiation by carbon footprint
Our sunflower grows on different fields across various agro-climatic conditions and soil types, requiring individual agriculture technologies and, therefore, producing different carbon footprint, including carbon removals.

For that reason, we are accounting carbon intensity of sunflower and other crops (kgCO2e/t of grain and kgCO2e/ha) for every one of our 5000 fields. Such granularity in emissions data is essential to plan efficient decarbonization practices across business operations by specifically targeting areas with the highest carbon intensities, without omitting a positive effect of existing low-carbon practices.
Artificial intelligence for yields estimation
First, a computer vision model estimates crop density in the field using drone images. Another model, based on weather data, particularly accumulated temperature indicators, and this year’s observations, simulates the BBCH growth stage, which indicates the corresponding developmental stage of the plant in the field.

Kernel developed an application that employs artificial intelligence to estimate the biological yields of sunflowers from a photograph. The agronomists take into account the previously estimated field density, the mass of 1000 seeds, and their average number per a sunflower. To determine the latter, there is a computer vision model that counts the number of filled and unfilled seeds from a photo. Considering that the field may not have reliable internet access, this model operates directly within the mobile application.
  • pollinated
  • unpollinated
Our goal is to ensure the traceability of the carbon footprint of our commodities throughout the whole production chain (cradle-to-gate), so that our trade partners, investors, and other stakeholders better understand Kernel’s potential in making a decarbonization impact in the global food supply chains.

Final product

Final product
Kernel showcases strong performance in the circular economy by utilizing ‘green’ electricity to power the production of bottled sunflower oil. The green electricity is generated at the company’ own combined heat and power plant from the side produce of a oilseed processing plant - sunflower seed husk.
Our Poltavsky Vegetable Oil Extraction Plant, where Kernel’s bottled oil is produced, has become the only company in the Ukrainian food sector to commit to the Science Based Targets initiative near-term targets in line with the 1.5 °C scenario.

The plant was also chosen as a partner in the Jumbo Impact Fund program, launched by Kernel's client, Jumbo Supermarkten. This initiative is designed to help reduce Jumbo's Scope 3 emissions by co-investing in decarbonization projects within its supply chain. Kernel’s green electricity processing practices can play a significant role in this effort. Our participation in the Jumbo Impact Fund signals the growing global demand for low-carbon products in the food industry, and we are committed to further strengthening this momentum.

Read more about our innovations

Ukraine
at the climate conference cop29