As climate change accelerates and land degradation spreads, soil health has become one of the most urgent but overlooked environmental issues. According to a 2025 article in the European Journal of Soil Science, artificial intelligence is emerging as a transformative force in the field.
From machine learning models that map soil nutrients with satellite imagery to AI algorithms predicting erosion risk, digital tools are helping scientists and farmers better understand and manage soil ecosystems. Yet, challenges remain: data gaps, model bias, and lack of field validation limit the practical impact of these technologies, especially in the Global South.
At PROSDOMA, we believe the future of food security and environmental resilience lies beneath our feet — in healthy, living soil. And to protect it, AI must be inclusive, transparent, and locally grounded.
✅ What Can Be Done?
1️⃣ Invest in Open-Source Soil Data
Support the creation and sharing of soil datasets across countries and regions.
2️⃣ Promote Collaborative AI Research
Bridge the gap between scientists, local farmers, and tech developers to co-design solutions.
3️⃣ Train Soil-AI Bridging Experts
Support interdisciplinary training programs that connect data scientists with soil ecologists and agronomists.
4️⃣ Ensure Equitable Access
Fund digital infrastructure and capacity building in low-income countries to prevent an AI divide in agricultural innovation.
Healthy soil is the foundation of climate resilience, food security, and sustainable livelihoods. Let’s make sure AI works with nature and with people.
🌍 www.prosdoma.org
#SoilHealth #AIForGood #ClimateResilience #SustainableFarming #DigitalAgriculture #Prosdoma
by E.D.
📚 Source:
Wadoux, A. M. J. C. et al. (2025). Artificial Intelligence in Soil Science. European Journal of Soil Science, 76(3). https://doi.org/10.1111/ejss.13442
