Sandi AI Launches Precision Irrigation Technology

By analyzing real-time soil moisture data, Sandi AI’s new feature helps farmers make informed irrigation decisions through simple, prioritized recommendations.
Nabakka Sandra (2nd from right), CEO of Sandi AI with some of her team members. COURTESY PHOTO Nabakka Sandra (2nd from right), CEO of Sandi AI with some of her team members. COURTESY PHOTO
Nabakka Sandra (2nd from right), CEO of Sandi AI with some of her team members. COURTESY PHOTO

Sandi AI, an AI-driven platform for climate-smart rotational savings and community asset financing, has launched its groundbreaking Sandi Moisture Intelligence feature. This new precision irrigation guidance tool acts as a digital partner for smallholder farmers, delivering clear, actionable recommendations on exactly which parts of their fields need water immediately and which can wait.

For smallholder farmers, managing irrigation is a daily challenge. Variations in sun exposure, soil slope, plant types, and topography cause some areas to dry out faster than others. Without precise data, farmers often over-water entire plots—wasting energy, water, and money—or risk leaving thirsty sections to suffer. Sandi Moisture Intelligence removes the guesswork by analyzing real-time soil moisture data and turning it into simple, prioritized advice.

“Farmers have always saved together in circles of trust. With Sandi Moisture Intelligence, we’re evolving that trust into smart, data-driven action,” said Nabakka Sandra, Founder and CEO of Sandi AI. “Farmers no longer have to guess where to start their day; they know exactly which part of their garden is under stress and needs water first. This ensures every drop works hardest, helping crops thrive while cutting costs.”

Sandi AI. COURTESY PHOTO
Sandi AI. COURTESY PHOTO

How it works

Farmers place 2–6 low-cost, durable soil moisture sensors (under US$20 (approx. UGX76,000) each, often bundled with Sandi-financed solar pumps or drip kits) at root-zone depths across different zones of their plots, such as drier slopes, shaded areas, or near high-demand crops like maize, tomatoes, beans, or coffee.

The sensors feed volumetric water content data into Sandi AI’s system, which combines it with hyper-local weather forecasts, crop-specific water needs, soil type, topography, evapotranspiration rates, and historical group performance. Using machine learning trained on East African agronomic data, the AI generates plain-language guidance delivered via WhatsApp (including voice notes), SMS, or USSD menus for feature phones.

Example message: “Prioritize irrigation for the North Slope today; the rest of the garden is fine for now.”

By targeting only the dry areas, the system reduces pumping costs, prevents over-watering that can cause root rot or nutrient leaching, and improves overall water efficiency. Calibration for local soil types (such as sandy loams and clays common in Uganda’s central corridor and Kenya’s Rift Valley) ensures high accuracy.

Making precision farming accessible

The guidance service is offered free of charge to all members of Sandi AI’s rotational savings groups. Members simply save a little extra to access the sensor technology, making advanced precision tools affordable through community financing. Savings groups also receive aggregated reports showing collective water efficiency gains, providing clear proof of improved yields and ROI. This strengthens their position when seeking better loans from microfinance partners.

Sandi AI is already in discussions with satellite imagery providers to add an aerial analysis layer, further enhancing the tool’s capabilities.

Sandi AI has enabled thousands of women-led and community groups to finance clean water, solar energy, irrigation, and sanitation solutions. The platform currently operates in Uganda and Kenya with plans to expand to Tanzania. In addition, the platform supports over 10,000 active rotational savings groups, driving measurable improvements in rural livelihoods and food security.