SensingDrone.hu
Multispectral photo and video
Agriculture
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Visual survey
Visual survey is one of the most basic types of drone inspections, which can serve as a basis for all further specialized analyses. The details of the area can be examined in high resolution through an orthophoto. These photos are to scale and georeferenced / coordinate correct. We recommend regular flights, as they provide time-series, calibrated results. -
Crop stand survey
Based on multispectral sensor data, the health status, stress level and other important parameters of plants can be evaluated. This helps farmers make optimal production decisions, such as optimizing water and nutrient use or early detection of diseases.
NDVI (Normalized Difference Vegetation Index) and NDRE (Normalized Difference Red Edge Index) -
Nutrient supply survey
Special sensors detect different light ranges, helping farmers identify nutrient deficiencies or excesses in plants. This allows optimization of nutrient use during cultivation, which can improve yield quantity and quality.
NDVI (Normalized Difference Vegetation Index) and NDRE (Normalized Difference Red Edge Index) -
Stress status survey
Measurement of stress levels in environmental or biological systems. Plant stress phenomena can be detected and monitored using multispectral imaging.
NDVI (Normalized Difference Vegetation Index) and NDRE (Normalized Difference Red Edge Index) -
Weed infestation survey
Suitable for creating a complete map of weed vegetation in the surveyed area. More than visual representation, it provides concrete, quantifiable data on weed-covered areas. The created weed map can be used not only for survey purposes but also as a spreading plan that can be directly loaded into agricultural machinery. This enables fast and efficient weed control. -
Variable rate fertilizer application plan
Soil quality and composition can vary within an area, affecting plant germination and growth. These differences are often visible to the naked eye, but precise surveys can create specific nutrient replenishment maps. If the survey is performed on closed canopy, the system only evaluates plants and does not consider uncovered soil areas. -
Plant count
Drone-based plant counting can be applied when plants are still clearly distinguishable from each other, before they completely cover the area. Accuracy can be ±2%. This method is particularly useful for detecting emergence losses and seeding errors, as well as determining the exact number of plants. -
Terrain analysis
Drone footage allows three-dimensional (3D) visualization and detailed analysis of terrain. This can help determine terrain features such as slope directions, which can also aid in preventing soil erosion. -
Game damage survey
We take normal color (RGB) and multispectral images, the evaluation of which provides tenth-of-a-percent accurate information on game damage affecting the area. These data allow farmers to accurately identify damaged areas, optimize protection measures, and promote more effective game management in the agricultural environment. -
Vineyard and orchard survey
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Vineyard monitoring survey
Drone images allow separation of vine canopy from soil and undergrowth, enabling more accurate analysis without disturbing factors. Multispectral cameras on drones can even identify individual infection points at an early stage. Nutrient-deficient areas are easily recognizable, allowing precise definition of management zones and automation of targeted nutrient application. -
Orchard monitoring survey
Drone images help separate orchard canopy from soil and undergrowth, enabling accurate analysis free of disturbing factors. Multispectral drone cameras can identify infection points individually at an early stage. Recognizing nutrient-poor areas allows precise delineation of management zones and personalized automation of nutrient application. -
Plant count
Multispectral images also allow precise plant counting in vineyards and orchards. -
Weed survey
Weed infestation can be accurately assessed in vegetable and fruit orchards.
NDVI (Normalized Difference Vegetation Index) and NDRE (Normalized Difference Red Edge Index)
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Vegetable crop survey
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Open-field vegetable monitoring survey
The survey aims to monitor nutrient levels and identify problem areas, providing great help in open-field vegetable production. Infection sites can be accurately identified individually even in the early stages. Nutrient-poor areas are easily recognizable, allowing precise definition of treatment boundaries and targeted automation of nutrient application. -
Plant count
Multispectral images also allow precise plant counting in vegetable crops. -
Weed survey
Weed infestation can be accurately assessed in vegetable and fruit crops.
NDVI (Normalized Difference Vegetation Index) and NDRE (Normalized Difference Red Edge Index)
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Soil index
Evaluation of multispectral and thermal drone imagery enables rapid and detailed monitoring of numerous soil index components such as soil moisture, plant health or nutrient content. This helps farmers make more accurate decisions, increase productivity and promote sustainability. -
Seeding plan
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Seeding plan based on soil patches
Nutrient levels often vary in agricultural areas. Drone-generated maps help with differentiated fertilization in line with recommended seeding rates. -
Seeding plan based on terrain
Terrain affects water retention capacity of individual areas, which can influence optimal seeding rates. Variable seeding rates enable efficient and economical management. Drone-generated maps help with differentiated fertilization in line with recommended seeding rates.
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Forestry
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Plant / tree count
Multispectral images also allow forest managers to perform precise tree counting.
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Industry
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Cartography
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2D orthophoto creation
Centimeter-accurate, high-resolution, top-view cartographic photo. -
3D surface modeling
We create a detailed 3D surface model of the selected area, which is rotatable, zoomable, and distances can be measured accurately on it.
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Road construction
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2D orthophoto creation
Centimeter-accurate, high-resolution, top-view cartographic photo. -
3D surface modeling
We create a detailed 3D surface model of the selected area, which is rotatable, zoomable, and distances and volumes of stockpiled or excavated materials can be measured accurately. On construction sites, this model allows precise measurement of material quantities.
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Mining
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2D orthophoto creation
Centimeter-accurate, high-resolution, top-view cartographic photo. -
3D surface modeling
We create a detailed 3D surface model of the selected area, which is rotatable, zoomable, and distances and quantities of extracted materials can be measured accurately.
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Other
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What do you need?
Condition assessment of vegetated areas. For example, size and condition assessment of urban green spaces.
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