Climate-Smart
Agriculture
THS v1.0 - Annex D
Climate-Smart Agriculture is the broadest THS agricultural pathway, encompassing a full package of practice changes - optimised fertiliser timing and rate, integrated pest management, water use efficiency, and crop rotation diversification - verified through precision monitoring rather than a single narrow intervention. Rather than crediting one specific practice in isolation, this pathway credits the aggregate carbon and emissions benefit of a holistic, digitally monitored farm management transformation.
How this pathway works
Where other THS agricultural pathways credit a single, narrowly defined practice change - enhanced weathering, biochar, managed grazing, or precision soil monitoring alone - Climate-Smart Agriculture credits the combined effect of a broader farm management package: precision fertiliser application matched to crop need and timing, integrated pest management reducing chemical input intensity, irrigation efficiency improvements, and crop rotation or intercropping diversification, all verified through the same precision digital monitoring infrastructure used across other THS pathways.
Under the Teravent Hybrid Carbon Standard (THS v1.0) Annex D, this pathway is classified as hybrid because it requires simultaneous accounting for multiple interacting agricultural systems (soil carbon, nitrous oxide emissions, water use) and the digital monitoring technology verifying each. Teravent Hybrid Credits (THC) are issued for verified net tonnes of CO₂-equivalent benefit across the bundled practice package, net of full lifecycle project emissions.
THS v1.0 - Annex D
This pathway is governed exclusively by the Teravent Hybrid Carbon Standard (THS v1.0). No external registry, standard, or methodology is referenced or incorporated.
Four approved methodology variants
THS v1.0 Annex D approves four methodology types, differentiated by the primary practice bundle emphasised.
Variable-rate fertiliser application technology adjusts nutrient application rate field-by-field, and often sub-field-by-sub-field, based on soil test results and remote-sensed crop vigour data, reducing over-application that would otherwise convert to nitrous oxide emissions without contributing to yield. This methodology credits the reduced N₂O emissions and any associated soil carbon benefit from improved crop residue return under optimised nutrient status.
- Variable-rate application records per field, per season, cross-checked against soil test and remote sensing data
- N₂O emissions factor applied based on documented fertiliser rate reduction relative to baseline
- Crop yield tracked to confirm no yield penalty from reduced application
- Soil organic carbon change tracked as a secondary co-benefit indicator
Drone or satellite-based pest and disease scouting, combined with predictive models, allows targeted pesticide and fungicide application only where and when needed, reducing overall chemical input volume relative to calendar-based blanket spraying. This methodology credits the reduced upstream production and application emissions associated with lower total chemical input volume.
- Pest/disease scouting data and predictive model output driving application decisions
- Chemical input volume and timing tracked per field, per season, against baseline calendar-spray practice
- Crop yield and quality tracked to confirm no productivity loss
- Upstream chemical production emissions factor applied to the reduced volume
Soil moisture sensor networks, combined with evapotranspiration modelling, drive precise irrigation scheduling that matches water delivery to actual crop need rather than fixed calendar schedules, reducing both water consumption and the pumping energy required to deliver it. This methodology credits the associated emissions reduction from lower pumping energy demand.
- Soil moisture sensor data and irrigation scheduling decisions per field
- Water volume applied per season, tracked against baseline calendar-irrigation practice
- Pumping energy consumption metered and converted to emissions using the applicable grid or fuel factor
- Crop yield tracked to confirm no productivity loss from reduced water application
Diversifying crop rotations - incorporating legumes, cover crops, and a wider variety of cash crops rather than continuous monoculture - improves soil structure, reduces pest and disease pressure (lowering chemical input need), and, where legumes are included, reduces synthetic nitrogen fertiliser requirements through biological nitrogen fixation. This methodology credits the combined soil carbon and reduced input emissions benefit, verified through digital field record tracking of the rotation sequence over time.
- Digital field record system confirming rotation sequence and crop diversity per field over the crediting period
- Periodic soil core sampling confirming soil organic carbon change
- Synthetic nitrogen fertiliser input tracked against baseline continuous-monoculture practice
- Crop yield tracked across the rotation to confirm overall productivity
Which emission sources must be counted
Measurement, reporting
& verification
Practice adoption is verified directly through digital records - variable-rate application logs, pest scouting data, irrigation sensor readings, or rotation tracking systems - giving very high confidence relative to farmer self-report alone. Emissions reductions (N₂O, pumping energy, chemical production) are calculated by applying standard emissions factors to the documented reduction relative to baseline practice, while soil carbon components (where applicable) require periodic ground-truth sampling consistent with other THS agricultural pathways.
Demonstrating additionality
Leakage types & deductions
Buffer pool & NPRR assessment
| Methodology | NPRR Rating | Buffer Pool Rate | Primary Reversal Risks |
|---|---|---|---|
| CSA-M01 Precision Nutrient | Medium | 20–32% | Reversion to blanket fertiliser application |
| CSA-M02 Integrated Pest Mgmt | Medium | 20–33% | Reversion to calendar-based spraying |
| CSA-M03 Precision Irrigation | Medium | 20–33% | Sensor network discontinuation; reversion to calendar irrigation |
| CSA-M04 Diversified Rotation | Medium | 20–35% | Reversion to continuous monoculture; drought-driven soil carbon loss |
Key registration criteria
Sustainable Development
Goal alignment
Deployment scope: Global - the most broadly applicable THS agricultural pathway, suitable for row-crop, orchard, and mixed farming systems worldwide with access to basic precision agriculture technology.
Ready to register your
climate-smart agriculture project?
Submit a Project Concept Note under THS v1.0 Annex D to begin your registration. Select the CSA-M code matching your practice bundle, deploy the required digital monitoring technology, and appoint an accredited VVB to validate your PDD.