SERVICE DESCRIPTION

An advanced service designed to transform agricultural practices using Unmanned Aerial Vehicles (UAVs) and AI-driven crop assessment. This service deploys a fleet of UAVs equipped with advanced sensors and high-tech cameras that conduct swift and efficient scans of agricultural fields. These UAVs work collectively to cover large areas quickly and efficiently, ensuring detailed and complete coverage of the crops. The data captured by our drones includes high-resolution imagery, multispectral scans, and thermal imaging, providing a thorough insight into crop health, soil conditions, and moisture levels.

At the core of this service is a Smart AI-based software, which processes the data collected by the UAVs and offers crop insights. This software can pinpoint potential issues, such as pest infestations, nutrient deficiencies, or irrigation problems, enabling proactive management. Moreover, all the information captured by the UAV fleet is presented in our detailed service report. This report allows users to view different data timelines and enables remote inspection of crop growth, infestations, and other critical field indicators. With UAV-based Crop Assessment, farmers can optimize their crop yields, reduce resource waste, and enhance the sustainability of their farming practices.

SERVICE BENEFIT

Through UAV field crop monitoring, the end-user can achieve:

• High-resolution and rapid inspection of multiple or vast fields using geo-referenced data, significantly reducing the time required for field surveys/inspection and allowing more frequent and timely assessments, enhancing overall inspection efficiency.
• Tracking of crop development stages for timeline-based crop health and growth assessment.
• Early detection of potential issues for proactive problem-solving.
• Access to additional layers of information beyond the visual spectrum.
• Data-driven decision-making by grounded and reliable data.
• Increased crop yield efficiency. Improved crop management strategies, based on detailed field data, contribute to maximizing crop yields and profitability.
• Resource use optimization. Insights into soil moisture and crop conditions help in optimizing irrigation and fertilizer usage, reducing waste and costs.