
Overview
In the Crop Dataset Generation service, we collect large-scale datasets on a frequent basis using drones or autonomous robots. AI and data-driven solutions require extensive data, shifting the focus from limited feature engineering to acquiring large, balanced datasets of images and labels for training convolutional deep-learning networks. We offer flexible data collection options tailored to customer needs. We can use our systems and fields to gather data on crops under various conditions, such as different lighting, angles, growth stages, and soil types. Alternatively, we can use customer-provided devices to collect data for testing and validation, such as evaluating sensor performance in detecting heat in crops or testing robot navigation in crop fields.
More about the service
• Reduced labour costs due to automated collection
• We assist with choosing the right sensor and setting the right sensor settings to generate a representative dataset.
Crop: Custom crop type is defined. We also have a lane trees facility where several tree cultivars of different sizes are growing.
Platform: Depending on the goal of the data, images are collected from drones, robots, or tractors. The sensor which is used is also customizable from a range of industrial cameras capturing RBG, multispectral or hyperspectral data, thermal sensors, ... We can also mount your own custom-built sensors to our platforms to provide datasets.