AI-900: What Type of Computer Vision Detects Weeds Between Crop Rows Using Drones?

Learn how object detection, a type of computer vision, can be used with drones to identify and locate weeds growing between rows of crops for efficient removal.

Question

You are using drones to identify where weeds grow between rows of crops to send an instruction for the removal of the weeds. This is an example of which type of computer vision?

A. scene segmentation.
B. optical character recognition.
C. object detection.

Answer

C. object detection.

Explanation

Object detection is a type of computer vision that involves identifying and locating specific objects within an image or video frame. In object detection, machine learning models are trained on many labeled examples to learn to recognize the visual features and patterns of the target objects. The model can then analyze new images to detect and draw bounding boxes around any instances of those learned objects.

In this scenario, drones are being used to capture aerial imagery of the crops and the spaces between the rows. An object detection model would be trained on many images of the specific types of weeds that commonly grow between these crop rows. When the drone flies over the field and captures new images, the trained object detection model can analyze each image to identify any weeds present and output the locations of those weeds, likely in the form of bounding box coordinates.

This weed location data could then be used to automatically target and remove the weeds, for example by instructing a robotic weeding system or precisely spraying herbicide only on the detected weed patches. Object detection enables this “surgical strike” approach to weed removal that eliminates weeds while minimizing damage to the crops.

In summary, using drones and computer vision to identify the locations of weeds growing between crop rows is a textbook application of object detection. The key aspects that make this object detection are:

1. Identifying specific objects (weeds) within images
2. Locating those detected objects in the image space
3. Enabling targeted action based on the detection results

So in this case, object detection (C) is the correct answer. The other computer vision techniques mentioned, scene segmentation and optical character recognition, would not be directly applicable for this weed identification task.

Object detection involves identifying and locating objects within an image or video. In this case, the drones are detecting and locating weeds among crops. Scene segmentation would be more about dividing an image into different segments or regions, while OCR is used for recognizing and extracting text from images.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.