Agricultural Emissions: Data-Driven Solutions for Sustainable Farming

Agricultural emissions have become a central concern for farmers, food companies, and regulators alike. As agriculture accounts for a significant share of global greenhouse gas  emissions, pressure to measure and reduce them is rising across the value chain. The Food  and Agriculture Organization of the United Nations (FAO) reports that agrifood systems,  which cover production, land-use change, and the processes before and after the farm,  emitted 16.5 billion tonnes of carbon dioxide equivalent (CO2eq) in 2023, accounting for  about one-third of all global emissions caused by human activities (1). 

This article explains where agriculture emissions originate, how they are measured, and  which data-driven strategies reduce them. 

What Are Agricultural Emissions and Where Do They Come From? 

Agricultural emissions are the greenhouse gases released by crop and livestock production,  by the land conversion that expands farmland, and by the manufacturing and logistics  surrounding farming. Greenhouse gas emissions in agriculture come from three principal  gases: 

• Methane (CH4): Produced by methanogenic microbes when organic matter breaks  down under anaerobic conditions. The main agricultural sources are enteric  fermentation in cattle and other ruminants, manure stored in liquid or slurry systems,  and flooded rice paddies. 

• Nitrous oxide (N2O): Released directly when soil microbes process nitrogen from  synthetic fertilizer, manure, grazing animal deposits, and crop residues through  nitrification and denitrification. Indirect N2O is emitted off-site after nitrogen is lost  from the field, either as ammonia and nitrogen oxides that are redeposited  elsewhere, or as nitrate that leaches into groundwater and waterways. Stored  manure is an additional N2O source. 

• Carbon dioxide (CO2): Released through land-use change, soil organic carbon loss  from cropland management and drained organic soils, and the application of lime and  urea. On-farm fuel combustion adds direct CO2 emissions. Purchased electricity  adds indirect emissions at the point of generation. 

FAO divides the 2023 total emissions into three parts: farm-gate emissions from crop and  livestock production account for 49 percent, pre- and post-production activities such as  fertilizer manufacturing, processing, and transport account for 32 percent, and land-use  change accounts for 19 percent (1). Taken together, these figures suggest that carbon  emissions in agriculture extend beyond the field. 

Why Are Agricultural Emissions a Growing Concern for Farmers and  Food Companies? 

Four developments are raising the stakes for agriculture and carbon emissions reporting for  farmers and food and beverages companies: 

• Methane share: The UN Environment Programme (UNEP) and the Climate and  Clean Air Coalition (CCAC) report that agriculture accounts for about 42 percent of  anthropogenic methane, compared with 38 percent for energy and 20 percent for  waste (2). Agriculture and methane emissions are therefore central to the Global  Methane Pledge, which targets a cut of at least 30 percent below 2020 levels by  2030. 

• Warming effect: Methane has accounted for roughly 30 percent of global warming  since pre-industrial times (3). 

• Reporting rules: The GHG Protocol published its Land Sector and Removals  Standard on 30 January 2026, effective 1 January 2027. It is the first GHG Protocol  standard to include traceability requirements for Scope 3 emissions (4). 

• Target setting: Under the Science Based Targets initiative (SBTi) Forest, Land and  Agriculture (FLAG) guidance, companies in food production, food and beverage  processing, and food retail must set land-based targets, as must any company  whose FLAG emissions exceed 20 percent of its total (5). 

For farmers, these developments are likely to translate into growing data requests from buyers. For food companies following applicable reporting or target-setting frameworks, they  increase the need to account for supplier-related emissions. 

What Are Scope 3 Emissions in Agriculture? 

The GHG Protocol classifies Scope 1 as direct emissions, Scope 2 as emissions from  purchased energy, and Scope 3 as all other indirect emissions across the value chain, divided into 15 categories (6). Scope 3 emissions in agriculture depend on the reporting entity. A farm that manages its own land records field emissions in Scope 1, while a food  manufacturer that purchases the crop records the associated emissions in Scope 3 (7). 

Scope 3 emissions examples in an agricultural value chain include: 

• Category 1: Purchased goods and services: grain, milk, sugar, or fruit bought by a  food company, and fertilizer or crop protection products bought by a farm, measured  from cradle to gate. 

• Category 4: Upstream transportation and distribution, haulage of harvested crops to  processing facilities. 

• Category 10: Processing of sold products; milling, refining, or other transformation of  an ingredient by a downstream customer. 

• Category 15: Investments; emissions attached to agricultural loans and holdings in a  financial institution's portfolio (6).

How Are Agricultural Emissions Measured and Reported? 

Credible reporting follows a MRV framework, which stands for measurement, reporting, and verification. Measurement quantifies emissions, reporting documents them in a standard format, and independent verification confirms their accuracy. 

Common Measurement Methods and Standards 

Most emissions inventories draw on three complementary sources of data:

• IPCC tiers: Tier 1 applies default emission factors, Tier 2 applies country or region specific factors, and Tier 3 applies models or direct measurement (8). 

• Accounting standards: The GHG Protocol Corporate Standard, Scope 3 Standard, and Land Sector and Removals Standard set the boundaries and rules for corporate  inventories. 

• Activity data: Records of fertilizer type and rate, herd size, feed, manure handling, tillage, and irrigation regime, multiplied by emission factors. 

• Soil sampling and sensing: Laboratory analysis and in-field sensors that establish soil organic carbon and nutrient baselines. 

• Remote sensing and modeling: Satellite imagery for land cover change, with process-based models filling gaps where direct measurement is impractical. 

Challenges in Tracking Farm-Level Emissions 

Several practical factors make farm-level tracking more demanding than it first appears:

• Spatial variability: Soil texture, organic matter, and drainage often differ within a  single field, so a small number of samples can misrepresent the whole. 

• Slow and episodic signals: Soil organic carbon changes slowly relative to its  natural variability and measurement error, so real change can take years to detect. Nitrous oxide emissions, by contrast, arrive in short peaks, typically after fertilizer  application followed by heavy rain or irrigation. 

• Default factors: Default values reflect broad climate and management categories, not local soil, weather, or practices, which widen uncertainty. 

• Fragmented supply bases: Food companies source from many farms, each with different record-keeping practices. 

• Cost and frequency: Conventional MRV relies on manual sampling and periodic site visits, which raises cost and leaves gaps between measurements. 

What Data-Driven Strategies Help Reduce Agricultural Emissions? 

Reduction strategies perform best when they target the largest local source, which requires measured baselines instead of regional averages. 

• Nitrogen management: Soil testing and crop-demand modeling inform the rate, source, timing, and placement of nitrogen. Where applications exceed crop uptake,  matching supply to demand limits the surplus available for denitrification and  leaching, which lowers N2O while protecting yield.

• Irrigation scheduling: Soil moisture data guides water application to crop demand. Avoiding over-irrigation limits the oxygen-poor conditions that favor denitrification. 

• Rice water management: UNEP lists water management in rice cultivation among  the available methane measures (9). Alternate wetting and drying are common approaches where water can be controlled, although agronomists monitor N2O because the drained phases can raise nitrous oxide release. 

• Livestock programs: Feed additives and improved breeding target enteric methane (9). 

• Soil carbon practices: Cover crops, reduced tillage, and organic amendments can raise soil organic carbon. Gains vary with soil and climate, level off over time, and are  reversible if management changes, so verification must continue through repeat  sampling to a consistent depth. 

• Supplier segmentation: Primary data from supplier farms identifies hotspots and  directs investment toward the practices with the greatest effect. The Land Sector and Removals Standard introduces Scope 3 traceability so that companies can engage  suppliers on reductions (4). 

How Technology Supports Emissions Monitoring and Reduction 

Digital monitoring replaces periodic snapshots with continuous, comparable records. Digital MRV applies remote sensing, automated sensors, and data platforms to increase  measurement frequency and standardize data capture. 

• Satellite imagery: Repeatable, wide-area coverage of land cover and vegetation change. 

• Soil sensors: Continuous local readings that add field context to satellite observations. 

• Digital soil analysis: Field-level nutrients and carbon baselines that inform fertilizer rates. 

• Data platforms: Automated aggregation that preserves traceability from each figure to its source. 

• Models: Gap-filling estimates validated against field data. 

Together, these layers produce records that withstand independent verification, a requirement for Scope 3 inventories, and carbon projects alike. 

Frequently Asked Questions About Agricultural Emissions 

What is the biggest source of agricultural emissions? 

The answer depends on the accounting boundary. FAO identifies livestock as the largest component of global agrifood systems emissions in 2023 (1), and enteric fermentation, rice  cultivation, and manure management account for most agricultural methane (2). Source rankings vary by region, commodity, and the boundary applied.

How can farmers reduce their carbon footprint? 

Farmers can lower carbon emissions in agriculture by acting on measured sources first:

• Test soil before setting nitrogen rates and apply nitrogen according to crop demand.

• Schedule irrigation from soil moisture data to avoid waterlogging. 

• Apply alternate wetting and drying in rice, with N2O monitoring. 

• Review feed and breeding programs in livestock systems (9). 

• Keep records of inputs, tillage, and irrigation to support reporting, and confirm soil  carbon gains through repeat sampling. 

Why do food companies require Scope 3 emissions data from farmers?

Purchased agricultural ingredients place farm emissions inside the buyer's Scope 3  inventory, so the buyers can use secondary emission factors when supplier-specific data are unavailable (6) (7). Scope 3 traceability requirements and SBTi FLAG targets raise the data  quality expected from those inventories (4) (5). Supplier-specific data also replaces default  factors, which allows verified farm practices to appear in the buyer's results. 

For food companies, agribusinesses, and sustainability teams, supplier data is becoming the  foundation of credible emissions reporting. Reducing agricultural emissions starts with  measurement that stands up to verification, and that is the principle Doktar builds on. 

Doktar grounds its work in MRV: Field observations and farm activity records feed  documented emissions calculations and reporting, with supporting evidence available for  independent review. By capturing field-level information on soil, water, and crop conditions, Doktar turns day-to-day farm activity into records that trace back to their source and support  Scope 3 reporting. Its digital infrastructure maximizes the value of that data by bringing  consistent inputs from many farms together, so comparable records replace scattered  estimates. 

Reference(s): 

(1) Food and Agriculture Organization of the United Nations. (October, 2025).  Greenhouse gas emissions from agrifood systems: Global, regional and country  trends, 2001-2023. https://www.fao.org/statistics/highlights-archive/highlights detail/greenhouse-gas-emissions-from-agrifood-systems.-global--regional-and country-trends--2001-2023 

(2) United Nations Environment Programme & Climate and Clean Air Coalition. (2025).  Global methane status report 2025. https://www.ccacoalition.org/content/global methane-status-report-2025 

(3) United Nations Environment Programme. (n.d.). Methane emissions are driving  climate change. Here's how to reduce them. https://unep.org/news-and stories/story/methane-emissions-are-driving-climate-change-heres-how-reduce-them

(4) GHG Protocol. (2026a, January 30). Release: GHG Protocol launches its first-ever  global standard for corporate accounting of land-sector emissions and removals [Press release]. https://ghgprotocol.org/index.php/blog/release-ghg-protocol launches-its-first-ever-global-standard-corporate-accounting-land-sector 

(5) Ramboll. (n.d.). Decarbonise for net zero: FLAG targets, overcoming challenges.  https://www.ramboll.com/en-us/insights/decarbonise-for-net-zero/flag-targets overcoming-challenges 

(6) World Resources Institute & World Business Council for Sustainable Development.  (2011). Corporate value chain (Scope 3) accounting and reporting standard.  Greenhouse Gas Protocol.  

https://ghgprotocol.org/sites/default/files/standards/Corporate-Value-Chain Accounting-Reporing-Standard-EReader_041613_0.pdf 

(7) GHG Protocol. (2026b). Land sector and removals standard (Version 1.1).  https://ghgprotocol.org/sites/default/files/2026-06/Land-Sector-and-Removals Standard-v1.1.pdf 

(8) Intergovernmental Panel on Climate Change. (2019). 2019 refinement to the 2006  IPCC guidelines for national greenhouse gas inventories: Vol. 4. Agriculture, forestry  and other land use (E. Calvo Buendia, K. Tanabe, A. Kranjc, J. Baasansuren, M.  Fukuda, S. Ngarize, A. Osako, Y. Pyrozhenko, P. Shermanau, & S. Federici, Eds.). IPCC. https://www.ipcc-nggip.iges.or.jp/public/2019rf/pdf/4_Volume4/19R_V4_Ch01_Introduction.pdf 

(9) Down To Earth. (2025, November). Global methane status report warns of rising  emissions but charts path to 2030 progress.  

https://www.downtoearth.org.in/amp/story/climate-change/global-methane-status report-warns-of-rising-emissions-but-charts-path-to-2030-progress