Camera types used on agrobots: – RGB cameras – extensively used in agricultural machine vision applications for fruit/plant detection, yield prediction, segmentation tasks, disease detection, ripeness detection, weed detection and insects detection – Hyperspectral, thermal, or ultrasonic cameras – typically provide better results than conventional RGB color images – Stereoscopic cameras – provides 3D plant structure information (dimension of crops (depth information, crop height, leaf shape, leaf area etc.)) Critical factor is the camera’s resolution, which should be high enough to capture the details of the scene especially in the cases of insect and disease detection.
Depending on the application, different types of cameras are used for surveillance. Visual cameras are used for capturing images during daylight, while a thermal camera may be used for night vision, seeing through smoke or fog, vegetation monitoring, fire and heat detection using infrared patterns, etc. Data may be streamed directly from the UAV via a secure communications channel to a remote central location.
Machine vision camera and spectral imaging – helps growers track the growing process of their entire operation, give details on plant height, 3D leaf area, projected leaf area, digital biomass, leaf inclination, leaf area index, light penetration depth, and leaf coverage
UAV generally carries a video camera and other sensors such as laser scanner, GNSS, gyroscope,accelerometer, and barometer. Streaming the video and other sensor data to a remote location for instant storage, verification and analysis allows the survey team to gauge whether additional data needs to be collected.
