Agricultural Services
Agricultural
Spraying
Drone spraying in agriculture is a cutting-edge method that harnesses unmanned aerial vehicles to apply essential substances to crops precisely. It excels in precision, minimizing waste and environmental impact. Moreover, it's highly efficient, reducing labour and equipment costs for farmers, while enhancing safety by keeping workers away from chemical exposure. Drones can even reach challenging, remote terrain, making farming productive and eco-friendly.
Advisory Services
Land Mapping
Land mapping with UAVs equipped with sensors and cameras to capture detailed images and data of the Earth's surface. These data are then processed to create accurate maps, 3D models, and GIS datasets for various applications. It offers rapid and cost-effective data acquisition, making it valuable for land surveying, environmental monitoring, infrastructure planning, and more
Crop Health Monitoring
NDVI Normalized Difference Vegetation Index crop health monitoring with UAVs uses multispectral sensors to assess plant health. Benefits include early issue detection, precise resource use, yield improvement, cost savings, sustainability, data driven decisions, and time efficient
Weed Identification
Weed identification using UAV involves the use of drones equipped with cameras and sensors to capture images of crop fields. These images are then analyzed to detect and identify weed infestations, enabling more precise and efficient weed control strategies in agriculture.
Digital Surface Model
A Digital Surface Model (DSM) created using UAVs is a 3D representation of the Earth's surface, including terrain and objects. Drones equipped with LiDAR or photogrammetry sensors capture data during flight, which is then processed to generate detailed models. DSMs are valuable for applications like terrain analysis, urban planning, and environmental monitoring due to their accuracy and comprehensive coverage.
Crop Identification
Crop identification with UAVs equipped with cameras and AI technology to efficiently and accurately identify and categorize crops. This aids in timely decision-making, resource optimization, and improved farm management
Tree Counting
Tree counting using AI involved unmanned aerial vehicles (UAVs) equipped with cameras to capture data, which is then processed using artificial intelligence (AI) algorithms to automatically identify and count trees. This technology significantly improves accuracy, speed, and efficiency in tree counting for applications such as forestry management, environmental monitoring, and urban planning