https://doi.org/10.1111/1365-2745.70346
This week’s “AI in Agriculture” 🌱
📖 A study of Universal ODE approaches to predicting soil organic carbon (arXiv, 2025: https://arxiv.org/abs/2509.24306)
📊 Hybrid Universal ODE model achieved R² ≈ 0.9999 in clean datasets, with moisture, temperature and microbial turnover as dominant SOC drivers.
⚠️ Performance drops with noisy inputs — a key challenge before field use.
✅ Hybrid physics–AI offers interpretable, process-based SOC forecasting for sustainable soil management.
Soil Organic Carbon (SOC) is a foundation of soil health and global climate resilience, yet its prediction remains difficult because of intricate physical, chemical, and biological processes. In this study, we explore a Scientific Machine Learning (SciML) framework built on Universal Differential Equations (UDEs) to forecast SOC dynamics across soil depth and time. UDEs blend mechanistic physics, such as advection diffusion transport, with neural networks that learn nonlinear microbial production and respiration. Using synthetic datasets, we systematically evaluated six experimental cases, progressing from clean, noise free benchmarks to stress tests with high (35%) multiplicative, spatially correlated noise. Our results highlight both the potential and limitations of the approach. In noise free and moderate noise settings, the UDE accurately reconstructed SOC dynamics. In clean terminal profile at 50 years (Case 4) achieved near perfect fidelity, with MSE = 1.6e-5, and R2 = 0.9999. Case 5, with 7% noise, remained robust (MSE = 3.4e-6, R2 = 0.99998), capturing depth wise SOC trends while tolerating realistic measurement uncertainty. In contrast, Case 3 (35% noise at t = 0) showed clear evidence of overfitting: the model reproduced noisy inputs with high accuracy but lost generalization against the clean truth (R2 = 0.94). Case 6 (35% noise at t = 50) collapsed toward overly smooth mean profiles, failing to capture depth wise variability and yielding negative R2, underscoring the limits of standard training under severe uncertainty. These findings suggest that UDEs are well suited for scalable, noise tolerant SOC forecasting, though advancing toward field deployment will require noise aware loss functions, probabilistic modelling, and tighter integration of microbial dynamics.
"Human activities, such as deforestation and the expansion of agricultural areas, have [caused] large amounts of carbon [to be] released into the atmosphere, contributing substantially to anthropogenic climate change.
A team led by LMU geographer Raphael Ganzenmüller has now calculated that human influence has reduced natural land carbon stocks by a total of 24%—which corresponds to 344 billion metric tons of carbon."
https://phys.org/news/2025-08-human-natural-carbon-stocks.html
#SoilCarbon
Human activities, such as deforestation and the expansion of agricultural areas, have a massive impact on the natural state of ecosystems. As a result, large amounts of carbon are released into the atmosphere, contributing substantially to anthropogenic climate change.
Paper of the week - week 34:
Lesschen et al., 2021 (Dutch):
De potentie voor koolstofvastlegging in de Nederlandse landbouw
The report indicates a potential for soil carbon sequestration that is far lower than what commercial certificate sellers (like Klim) are claiming.
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#climatechange #climatechangemitigation #carbonsequestration #agronomy #soilcarbon #soils #agriculture #benediktspapersoftheweek
Plants, like grass and food crops, love stable conditions. A farm I'm involved in is doing an experiment with hedgerows and the first graphs are in. Too early to brag, but the results look very much like: hell yeah, hedgerows FTW. This makes me very happy this morning :)
I will have to alert the researcher to #grafiekPolitie before they publish I see ;)
#regenerativeAgriculture #regenerative #biodiversity #soil #SoilCarbon #farming
【EDITOR'S CHOICE】
Patterns and mechanisms of belowground carbon responses to changes in #Precipitation💦
#BelowgroundProcesses | #BelowgroundNetPrimaryProductivity | #Nonlinear | #SoilCarbon
Australian companies and farmers experiment with using crushed basalt on farms instead of fertilisers - with promising results.
I wonder if I could find some crushed basalt for my depleted soil in inner- suburban Melbourne?
#GardeningAU #Melbourne #agriculture #SoilCarbon #fertilizer
https://www.abc.net.au/news/2025-05-17/basalt-rock-fertiliser-carbon-trials-queensland/105299634