AI YAI YAI! — Look what AI is doing to business
AgricultureUSTraditional Trade

Transforming small farming with open-source, AI-powered connected edge solutions

Smallholder farmers are leveraging the open-source Liquid Prep app, developed with IBM technology and hosted by the Linux Foundation, to optimize water usage. This AI-powered solution analyzes soil, weather, and crop data to provide intelligent watering guidance directly to farmers.

Smallholder farmers (supported by Liquid Prep) US Small
Smallholder farmers (supported by Liquid Prep)

The Business

Smallholder farmers are leveraging the open-source Liquid Prep app, developed with IBM technology and hosted by the Linux Foundation, to optimize water usage. This AI-powered solution analyzes soil, weather, and crop data to provide intelligent watering guidance directly to farmers.

Smallholder farmers (supported by Liquid Prep) · Small.

Before AI

Smallholder farmers faced numerous challenges, including limited access to modern technology and increasing impacts of climate change, leading to less informed watering decisions.

What Changed

Farmers now utilize the Liquid Prep mobile app, which gathers soil moisture, weather, and crop data. Powered by IBM technology and open-source AI/ML models, it analyzes this data to provide intelligent watering guidance, helping farmers make smarter decisions about their crops.

The Result

Farmers can now make smarter decisions about their crops, leading to increased crop yield and decreased economic and environmental costs related to water usage.

Why this matters

AI and Edge Computing for Sustainable Agriculture

Smallholder farmers worldwide face significant challenges from climate change and limited access to modern tools. This case demonstrates how open-source AI and edge computing, even with low-cost sensors, can deliver sophisticated insights directly to farmers, enabling more efficient resource management. This approach can democratize access to advanced agricultural techniques, allowing small businesses to improve productivity and sustainability without requiring significant upfront investment in complex IT infrastructure.

Technology Used

Liquid Prep (mobile app), Open Horizon (edge computing platform), IBM Edge Application Manager, IBM Cloud, ML models
by IBM, Linux Foundation, The Weather Company

Used for:

Analyze soil moisture, weather, and crop data to inform watering guidance.Develop machine learning models to provide advanced crop insights.Deploy and manage software and ML models autonomously on edge devices.Utilize low-cost soil moisture and temperature sensors for real-time data collection.

Source

IBM
Vendor customer story
Transforming small farming with open-source, AI-powered connected edge solutions
Published: 2023-11-09
Read original case study

Results are reported by the identified source/company and have not necessarily been independently verified by AI YAI YAI.

Could this work in your market?

Explore this opportunity in South Africa.

Explore Opportunity

Related Cases

Sharp & Sharp Certified SeedAgriculture

South Carolina Seed Farm Digitizes Decades of Data and Boosts Real-Time Operations with ChatGPT

Sharp & Sharp Certified Seed, a multi-generational family farm, transformed its operations by digitizing decades of handwritten crop ledgers with ChatGPT, making historical data instantly accessible. The farm now leverages ChatGPT for real-time troubleshooting, logging field work, and making quicker, more confident decisions, significantly streamlining daily tasks.

Sharp & Sharp Certified Seed · USA
GE HealthcareAgriculture

GE Healthcare Drives Better Outcomes With Machine Learning

GE Healthcare has integrated machine learning into its operations to significantly improve patient care. By using data mining platforms to analyze patient records and developing predictive algorithms, the company can now anticipate post-discharge complications and enhance the overall quality of care.

Better patient outcomesDriven by machine learning applications that analyze patient records and predict complications.
GE Healthcare ·
John DeereAgriculture

John Deere uses AI vision to cut herbicide use as crops are sprayed

John Deere's See & Spray uses cameras and computer vision to identify individual weeds and spray only where needed, instead of blanketing entire fields.

59%average reported herbicide saving (2024 season)
John Deere · United States
Assisto TechnologiesSoftware & Technology

Smarter conversations, happier customers: Assisto Technologies’ iAssist integrates with watsonx.ai to streamline call analysis and boost customer satisfaction

Assisto Technologies enhanced its iAssist conversational AI platform by integrating IBM watsonx.ai and Granite LLMs to handle complex, code-mixed multilingual customer calls. This transformation resulted in significant operational efficiencies and improved customer experiences through real-time analysis and automation.

60%–70%reduction in time spent on manual transcription
Assisto Technologies · India

AI YAI YAI!

LOOK WHAT AI IS DOING TO BUSINESS.

Real examples of businesses materially transformed by AI. Evidence first — every case keeps its original source.

The editorial rule

We only feature cases where AI materially changed a process, product, service or business model — not simply where someone started using an AI tool. Reported results are attributed to their source and not necessarily independently verified.

© 2026 AI YAI YAI · aiyaiyai.techEditorial admin