Green Xpo Lab
GreenXPol provides agricultural producers with remote monitoring technology—including aerial and ground drones, satellite imagery, and IoT sensors—to deliver precise crop information that reduces supervision time and improves production costs. The company has processed nearly 21 million counted plants and logged over 46 hours of flight time, supporting data-driven decisions for coffee and other crops.
- Agriculture Technology
- Artificial Intelligence
- Data & Analytics
- Drones & Uncrewed Systems
- Hardware
- Internet of Things
- Software Only
Funding
Founders
Product
Problem
Agricultural producers often lack timely, precise information about their crops, leading to lengthy supervision times, delayed problem detection, and higher production costs. Traditional scouting methods are labor-intensive and may not cover large or remote areas effectively, limiting the ability to respond quickly to crop health issues.
Solution
GreenXPol provides a remote crop monitoring service that combines aerial and ground drones, satellite imagery, and internet-of-things (IoT) sensors to deliver accurate, actionable data directly to producers. The company works alongside farmers to reduce supervision time, suggest targeted solutions, and improve overall production cost efficiency. By processing imagery and sensor data, GreenXPol identifies crop conditions and supports informed decision-making. The service is complemented by strategic alliances with specialized drone application companies and satellite analytics providers, enabling a comprehensive monitoring offering without diluting focus.
Target Audience
Primary customers are agricultural producers, particularly coffee growers and large-scale farming operations, as well as agribusinesses seeking remote monitoring solutions to optimize field supervision and reduce production costs.
Features
- Integrated use of aerial drones, ground drones, satellite imagery, and IoT sensors for multi-layered crop monitoring
- Data analytics that deliver precise crop counts and field condition assessments, with over 20.9 million plants counted to date
- Flight operations totaling more than 46 hours, demonstrating field-proven data collection capability
- Collaboration with coffee research institutions to develop AI models that detect diseased plants in coffee crops
- Strategic partnership with satellite analytics provider to enhance irrigation and crop monitoring through image-based insights