Browsing by Subject "remote sensing"
Now showing items 1-5 of 5
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Machine Vision Methods for Evaluating Plant Stand Count and Weed Classification Using Open-Source Platforms
(North Dakota State University, 2021)Evaluating plant stand count or classifying weeds by manual scouting is time-consuming, laborious, and subject to human errors. Proximal remote sensed imagery used in conjunction with machine vision algorithms can be used ... -
Rangeland Forage Growth Prediction, Logistics, Energy, and Economics Analysis and Tool Development Using Open-Source Software
(North Dakota State University, 2022)Forage availability was crucial for livestock production across the United States. Rangelands occupied vast areas 31 % of land and were the primary source of forage for livestock. However, extreme climatic conditions such ... -
Soil Moisture Prediction Using Meteorological Data, Satellite Imagery, and Machine Learning in the Red River Valley of the North
(North Dakota State University, 2021)Weather stations provide key information related to soil moisture and have been used by farmers to decide various field operations. We first evaluated the discrepancies in soil moisture between a weather stations and nearby ... -
A Systematic Literature Review of Drone Utility in Railway Condition Monitoring
(2023)Drones have recently become a new tool in railway inspection and monitoring (RIM) worldwide, but there is still a lack of information about the specific benefits and costs. This study conducts a systematic literature review ... -
Using UAS Images to Remotely Estimate Soil Moisture Content in the Red River Valley
(North Dakota State University, 2021)Accurate measurements of soil moisture in a timely manner are necessary in making critical management decisions, but it is often very difficult to obtain. Even though soil moisture can be measured on the ground using various ...