Land Mapping- Agriculture
Real Estate Photography / Filming Editing
Benefits of Drones and Sensors in Agriculture

  • Agricultural drones provide growers, service providers, and ag researchers a fast and efficient way to scout their crops, identify stress, create treatment plans, track plant growth, and much more. Using high-resolution RGB cameras and professional multispectral sensors can detect and quantify crop health problems early on.

Scout Your Fields in Less Time

  • These valuable insights can reduce input costs and boost yield. Drones provide an immediate snapshot of a field in a fraction of the time it would take to scout on foot. Cover hundreds of hectares in a single flight, capturing data that help detect and identify variability and areas of crop stress.

Capture Precise Data that Drives Decisions and Actions

  • Use drone data to generate prescription maps and plans, focusing treatments more efficiently and reducing costs. Gain insights that complement other agronomic tools. E.g., for soil/leaf sampling, instead of randomized sampling, drone data can direct you to the best places to sample, saving time and money.

Efficiently Track Crops Over Time, for Research or Production

Track how crops are progressing from emergence through harvest. Accurately monitor fields for phenotyping and other research applications. Periodic capture of calibrated data from professional multispectral sensors offers insights into crop health regardless of illumination changes, giving you the needed data to derive quantitative trends.

Wind Turbine Inspections

Use of drones instead of humans can cut down the time required for the first phase by a factor of 6-8 times and cost by 8-10 times. At the same time, they help reduce the hired manpower, safety hazards and costs.

The second phase of “Analyzing” the collected images can either be done manually or automatically using cutting edge machine learning models. The task of manually looking at hundreds of high definition images is tedious and mundane which leaves it vulnerable to human errors. This also consumes significant time and requires hiring skilled labor who are experienced in this domain. On the other hand, use of AI for the second phase, suffers from no such issues resulting in highly accurate analysis in a cost effective way.

Automating the second phase is where Nanonets fits in. We build and deploy custom inspection models which identify and categorize the different kinds of faults with high accuracy and speed. Each inspection model is trained and fine tuned to each use case. Depending on the size, each wind turbine can be covered in 10-20 high definition images. Our models are capable of analyzing these images at the rate of 2-5 wind turbines a minutes, covering wind farms within hours. The same analysis would take days if done manually.

Wind Turbine Inspections

The Wind Farm in Penonomé was inaugurated to meet Panama’s increasing demand for energy. The largest in Central America and 13th in the world, the installation of 110 wind turbines will produce between 6% and 7% of the Country’s electricity. Total of 110 Turbines located on 47,000 Acres. There are plans to add additional Wind Turbines over the next few years

Majority of Issues Uncovered During Inspections

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