Precision Mapping
Precision Mapping
Say goodbye to guesswork! Our drones utilise innovative technology to generate accurate prescription maps tailored to your specific needs. By analysing soil conditions, nutrient levels, and crop health, we provide you with actionable data, enabling precise planning and targeted interventions for optimal precision management of your land.
Agriculture:
Variable Rate Application (VRA): Drones collect data used to generate VRA maps, which guide automated machinery to apply the right number of inputs like fertilizers, pesticides, or seeds at the right place and time.
Soil Health Analysis: By analysing images captured by drones, prescription maps can be created that indicate soil health, moisture levels, and nutrient needs.
Yield Optimization: Prescription maps help in identifying zones with varying yield potential, allowing farmers to manage these zones differently to optimize overall yield.
Irrigation Management: These maps enable farmers to apply variable irrigation rates across a field based on the specific water needs of different areas, which can be identified by the drone’s sensors.
Forestry:
Tree Species Classification: Drones help in mapping different tree species and their health, aiding in the selective treatment and management of forest areas.
Pest and Disease Control: Prescription maps can be created to manage and mitigate the spread of pests and diseases in forests by identifying the affected areas.
Reforestation Efforts: Drones help in mapping out the most effective areas for reforestation, considering the health and density of the existing vegetation.
Fire Risk Assessment: Prescription maps can identify areas of high fire risk, allowing for preventative measures to be taken.
In both agriculture and forestry, prescription mapping with drones allows for the allocation of resources where they are most needed, reducing waste, saving time, and minimizing environmental impact. Aerial AG’s drone technology thus supports more informed decision-making and
efficient land management.
