Social and Behavioral Sciences Commons^™

The Use Of Unmanned Aerial Vehicle Based Photogrammetric Point Cloud Data For Winter Wheat Intra-Field Variable Retrieval And Yield Estimation In Southwestern Ontario, Yang Song

Electronic Thesis and Dissertation Repository

Precision agriculture uses high spatial and temporal resolution soil and crop information to control the crop intra-field variability to achieve optimal economic benefit and environmental resources sustainable development. As a new imagery collection platform between airborne and ground measurements, Unmanned Aerial Vehicle (UAV) is used to collect high spatial resolution images at a user selected period for precision agriculture. Most studies extract crop parameters from the UAV-based orthomosaic imagery using spectral methods derived from the satellite and airborne based remote sensing. The new dataset, photogrammetric point cloud data (PCD), generated from the Structure from Motion (SfM) methods using the UAV-based …

Intra-Field Canopy Nitrogen Retrieval From Unmanned Aerial Vehicle Imagery For Wheat And Corn Crops In Ontario, Canada, Hwang Lee

Electronic Thesis and Dissertation Repository

The optimization of crop nitrogen fertilization to accurately predict and match the nitrogen (N) supply to the crop N demand is the subject of intense research due to the environmental and economic impact of N fertilization. Excess N could seep into the water supplies around the field and cause unnecessary spending by farmers. Understanding the detailed spatial information about a crop status is known as a farming management technique called precision agriculture, which allows farmers to maximize their yield and profit while reducing the inputs of fertilizers, pesticides, water, and insecticides.

The goal of this study is to document and …