Apollo Agriculture
3 documented AI deployments at Apollo Agriculture, across 1 industry. Each one links to the public source it was taken from.
Public AI record
Apollo Agriculture has 3 documented public AI cases on the hub, too few for a score. Agronomic advisory and crop disease detection are common among peers but not yet documented at Apollo Agriculture.
A record score appears once Apollo Agriculture has 5 documented public cases. The peer comparison below already uses what is on record.
First documented case May 2020, latest Mar 2025. No new deployment documented since Mar 2025. Cloud providers named: Microsoft.
Compared with peers
Against 11 other agriculture companies on the hub.
What peers document
- Agriculture optimization10 of 11 peers · here too91%
- Agronomic advisory4 of 11 peers36%
- Crop disease detection3 of 11 peers27%
- Crop yield prediction2 of 11 peers18%
Gaps against the industry
- Agronomic advisory: 36% of peers, not documented at Apollo Agriculture yet
- Crop disease detection: 27% of peers, not documented at Apollo Agriculture yet
Stack and approach vs peers
- Peer cases name Microsoft 88%, AWS 6%, GCP 2%.
- AI agents: 0% of Apollo Agriculture's cases vs 29% for peers.
- Cases from the last 12 months: 0% vs 8% for peers.
Deployments
3 deployments at Apollo Agriculture, newest first.
- 10 Mar 2025AgricultureKenya
Apollo Agriculture Improves Farming Outcomes Through AI-Driven Insights
Apollo Agriculture · Agriculture optimization · Microsoft
Apollo Agriculture, based in Kenya, implemented AI and IoT solutions to address the unique challenges faced by local farmers. The company harnessed FarmBeats, a Microsoft solution, to capture real-time data about soil, weather, and crop health through IoT sensors deployed on farms. This data was sent to Azure for analysis and processed using advanced machine learning algorithms, enabling predictive analytics and precision farming recommendations. The adoption of these AI-powered solutions provided actionable insights for optimizing irrigation schedules, fertilization, and planting choices, closely aligned with environmental and seasonal shifts. By analyzing trends and anomalies, the system supported more efficient pest and disease management, while the cloud-based architecture enabled scalability to reach more farmers across Kenya. The project demonstrated substantial benefits including better resource utilization, decreased input costs, and increased crop yields. The precise recommendations and early intervention strategies led to reduced wastage of water and fertilizers and minimized the impact of pests and diseases. Smallholder farmers could access expert knowledge for decision making via mobile platforms, democratizing access to modern farming techniques. The use of Azure ensured data was securely managed and easily accessible, enabling seamless integration for future agricultural technology upgrades. This project exemplifies the transformative potential of digital agriculture in Africa when AI, IoT, and cloud computing are combined. Overall, Apollo Agriculture achieved significant improvements in sustainability and productivity, supporting Kenya's agricultural sector's growth and contributing to greater food security in the region.
Scaled Production
- 24 Jan 2022AgricultureKenya
Apollo Agriculture Empowers Kenyan Smallholder Farmers Through Tech-Driven Lending and Crop Monitoring
Apollo Agriculture · Agriculture optimization · Microsoft
Apollo Agriculture is helping smallholder farmers in Kenya boost productivity and income through a technology-driven approach. By leveraging AI, automation, and remote sensing, Apollo addresses the underlying productivity, access to credit, and operational challenges facing rural agriculture. The company provides a marketplace offering seeds, fertilizers, insurance, and finance, while also supporting farmers with training and access to markets. Farmers can apply for inputs and financing via SMS, with loans linked to farm size after in-person assessment. Rather than cash, farmers receive input vouchers, payable at partnering agro-dealers using Apollo's app. This automation reduces operational costs and increases scalability, allowing Apollo to expand rapidly from 1,000 to 70,000 active customers in a few years. Machine learning is central to Apollo's system, building data-driven credit profiles and optimizing lending decisions. Satellite imagery and sensors enable remote crop and farm monitoring, further automating loan decision-making and risk management. The business impact is substantial: farmers using Apollo's services have increased harvest yields by 200%-300%, while Apollo has grown to serve 100,000 cumulatively financed farmers. Funding comes from impact-focused investors. Apollo currently lends from its own balance sheet and works towards growing commercial farming with higher-value crops. The company's approach to digitizing every step of the lending and product supply chain demonstrates strong AI-driven operational transformation within Kenyan agriculture. Besides increasing productivity, Apollo is promoting climate resilience by helping farmers transition to crop insurance and irrigation instead of rain-fed agriculture. Their efforts create a profitable, sustainable agricultural business model adapted for smallholders.
Production
- 19 May 2020AgricultureKenya
Apollo Agriculture: AI Automation Empowering Kenyan Smallholder Farmers
Apollo Agriculture · Farm management · Microsoft
Apollo Agriculture, founded in 2016 in Kenya, provides a mobile-based platform that integrates AI technologies including machine learning, satellite data, and the M-Pesa mobile money platform to empower smallholder farmers. The platform offers working capital, personalized data analytics for crop management, seed and fertilizer supply, insurance, and financing. By interpreting satellite imagery and automating risk assessment and credit decisions, the solution addresses the challenges of limited access to technology, credit, and agricultural expertise among Kenyan farmers. Apollo Agriculture has served over 40,000 farmers, improving agricultural productivity and supporting economic inclusion.
What it builds
Agriculture optimization is the most common pattern in these deployments: 2.
Cloud providers named
Microsoft is named in 3 of these deployments.
- Microsoft100% of these3