Pollen Patrollers uses IoT-enabled smart hives and AI-powered pollination services to protect bees and boost yields. Our hives monitor hive health in real time, while AI mapping and satellite tools optimize hive placement on farms. Farmers also access training via AI hotlines and USSD chatbots in local languages, helping them adopt climate-smart practices.
We are the first in Sub-Saharan Africa to deploy a full-stack solution combining smart hives, AI-driven precision pollination, and farmer education. By blending cutting-edge tech with grassroots inclusion, we help farmers grow more food, protect pollinators, and create green jobs—especially for women and youth through our #Patrollers4Her initiative.
Affordable: Smart hives for as little as $6 per 45 days; pollination services at $25 per acre. Inclusive: Training and data in local languages for easy adoption. Empowering: Women and youth trained as field agents, creating jobs and ownership. Comprehensive: A single solution that integrates hardware, AI software, training, and field support, unlike competitors offering only one piece.
Smart hives for $2 per month; pollination services at $10 per acre; training and support free or subsidized.
Training and data in local languages for easy adoption.
Women and youth trained as field agents, creating jobs and ownership.
A single solution that integrates hardware, AI software, training, and field support, unlike competitors offering only one piece.
we have collaborated with Qualcomm to integrate advanced AI and IoT capabilities into our smart hive systems. By leveraging Qualcomm Xdragon 55–based hardware, we have trained and fine-tuned both software and hardware to ensure high-performance data processing, reliability, and output.
Our technology is designed from the ground up, making it easy to adapt to new markets. With support from Cornell University, we’ve successfully tested in the USA—showing excellent results and proving our solution works across diverse farming systems.
We have reached 20,000+ smallholder farmers and beekeepers over the last 4 years, helping them achieve 50% higher crop yields and 33% more honey production—improving food security and incomes.
Through our #Patrollers4Her initiative, we have created 500+ jobs for women and youth as field agents and IoT technicians, building local ownership and skills.Our enterprise-grade AI-powered training ecosystem focuses on training women and girls to become field service agents, IoT technicians, and innovators in beekeeping and smart hive technology.
Over 50,000 farmers have been trained via our AI hotline and USSD chatbot, gaining real-time knowledge on sustainable farming and climate-smart practices.
By reducing chemical inputs and boosting pollination efficiency, we've already helped mitigate 227 tons of CO₂ emissions (ImpactForecast.com)—and the number is growing as we scale.
By 2032, we plan to serve 1 million farmers across Africa, strengthening food systems, protecting biodiversity, and building climate resilience.
Combining IoT, AI, and mobile technology to revolutionize pollination services
Real-time monitoring of hive conditions including temperature, humidity, sound, and activity levels
Machine learning algorithms predict colony health and recommend interventions to prevent collapse
Satellite imagery and farm data analysis to optimize hive placement for maximum pollination
AI-powered offline-capable training platform for youth technicians in rural areas
Our patented smart hives monitor temperature, humidity, sound, and foraging activity to provide real-time insights into hive health and prevent colony collapse.
Using AI and satellite imagery, we optimize hive placement on farms during peak bloom to maximize crop yields and quality through targeted pollination services.
Our #Patrollers4Her program trains young women in IoT technology and beekeeping, creating jobs while expanding our service network across Africa.
Whether you're a farmer, beekeeper, investor, or simply someone who cares about food security, there are many ways to get involved with Pollen Patrollers
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