Yemeni Soil Health Initiative: Advancing Soil Intelligence for Coffee Farmers


Country : Yemen
Region :  Taiz & Yafii 
Year : 2025
Project Theme : COFFEE VALUE CHAIN DEVELOPMENT FROM FARM TO MARKET
Beneficiaries : 200 Smallholder Coffee Farmers
Impact : Soil health improvement
Partners : Qima Coffee & Smartspectra

Across Yemen’s coffee-growing regions, farmers invest significant time and money in fertilizers and soil treatments without reliable information to guide their decisions. With limited access to affordable soil testing and little practical training in soil health, most farmers rely on trial and error—carrying the full financial risk themselves.

To address this challenge, the Qima Foundation, in collaboration with Smartspectra and supported by Qima Coffee, has developed a locally adapted soil health model tailored specifically to Yemen’s coffee systems.


Developing a Reliable and Affordable Soil Model

The initiative focuses on building a scientifically validated, data-driven soil testing model using near-infrared spectroscopy (NIRS), calibrated against laboratory chemical analysis.

Working with 200 farmers, the project has generated a strong dataset from Yemeni soils, enabling the development of a model capable of accurately predicting key soil properties.

Preliminary results demonstrate high reliability:

  • Organic matter & soil moisture: R² = 0.90

  • Nitrogen: R² = 0.84

  • Carbon: R² = 0.80

The model also predicts essential soil indicators such as pH, phosphorus, potassium, cation exchange capacity, and nutrient balance ratios.

This represents a major milestone: a cost-effective, accurate, and locally calibrated soil testing solution is now ready for deployment.


The Next Phase: Bringing the Model to Farmers

With the model successfully developed, the next phase focuses on delivering this innovation directly to farmers.

The objective is to transform the model into a practical, field-ready service that enables farmers to:

  • Access affordable and rapid soil testing

  • Understand their soil conditions clearly and easily

  • Make informed decisions on fertilization and farm management

  • Reduce unnecessary input costs and improve productivity

This phase will emphasize accessibility, farmer training, and usability, ensuring that soil data is not only available but actionable at the farm level.

By transitioning from model development to real-world application, the Yemeni Soil Health Initiative shifts farmers away from guesswork toward evidence-based decision-making.

The result is reduced risk, more efficient use of inputs, healthier soils, and improved coffee yields and quality.

This initiative lays the foundation for a future in which Yemeni coffee farmers are equipped with practical tools and knowledge—enabling them to farm more sustainably, profitably, and confidently.