Location: Crops Pathology and Genetics Research
Project Number: 2032-21220-008-010-S
Project Type: Non-Assistance Cooperative Agreement
Start Date: Sep 1, 2018
End Date: Aug 31, 2022
The overall goal is to conduct research that can lead to development of commercially viable solutions, advanced robotics and imaging technologies to enhance the productivity and sustainability of pest management in ornamental crops. This program will focus on the following objectives: Objective 1: Maximize repeatability of reflectance data acquired with hyperspectral imagers mounted on: 1. aerial drones, and 2. inside greenhouses. Objective 2: Identify leaf reflectance traits uniquely associated with different biotic stressors. Objective 3. Detection and management of crop stresses associated with abiotic and biotic stressors using proximal remote sensing techniques for key ornamental crops. Objective 4: Processing of reflectance data acquired with hyperspectral imagers into user-friendly maps and decision support tools.
Objective 1: Perform experimental testing of imaging at night time with artificial lighting under greenhouse conditions. Perform experimental testing of different calibration methods to minimize the noise associated with reflectance data due to changes in sunlight intensity, projection angle, atmospheric composition, and cloud cover. Objective 2: Using a rail-based imaging system, acquire hyperspectral images from ornamental plants experimentally infested with different arthropod pests and characterize plant reflectance responses to these biotic stressors. In addition, UC Davis will conduct the following activity in year 1 at commercial ornamental production systems. Using a drone-mounted imaging system, acquire hyperspectral images from ornamental plants at locations with identified infestations of arthropod pests and characterize plant reflectance responses to these biotic stressors.